Event Location:
USF School of Business - BSN
12212 USF Maple Drive
Tampa, Florida
Abstract:
Reports are no longer just black and white columns and rows of numbers. Reports combine tables with charts and KPIs and more. Visually, there is a lot to be concerned with when designing your report to get the right information across to your audience. You must consider the way you display your data, the amount of data displayed, the use of color and maybe even the use of animation. Creating attractive reports is not just about making them pretty. It is about grabbing your audience's attention. It is making sure you don't inadvertently introduce ADA (American Disabilities Act) problems that will detract from your message if your audience cannot understand or interpret your data. This session while looking at some reporting best practices will also give you information to steer you clear of ADA concerns to keep your data's message on track.
Speaker(s): Michael Antonovich,
Abstract:
PowerShell is the robust automation language for Windows. When extended Azure modules, you get a robust Azure automation platform. In this presentation, we’ll explain how to create, inquire about, and manage Azure resources from the client-side using PowerShell. Then we’ll look at how to create PowerShell automation jobs called Runbooks within Azure and the features of using this approach. Finally, we’ll see how we can get the best of both approaches by using the Azure Automation Authoring Toolkit, a PowerShell ISE Add-On that seamlessly integrates local PowerShell development and testing with cloud based Azure Runbooks. If you plan to use Azure, you need PowerShell, the Azure automation language so come to this presentation to get started.
Speaker(s): Bryan Cafferky,
Abstract:
This session focuses on Microsoft’s BI capabilities within SQL Server and its abilities to make advanced easy to use, accessible, insightful, and actionable decisions, all while helping clients increase organizational performance. Through several releases, Microsoft dramatically enhanced the Microsoft BI platform. During this session Plus Consulting, one of Microsoft's top global BI partners, value from your BI platform. We’ll show you why the combination of Microsoft Office, PowerBI and SQL Server are an excellent solution for creating self-service dashboards, scorecards, KPIs, pivots, data exploration and discovery.will explore the improvements to SQL Server self-service reporting and talk about creating blended
Speaker(s): Sayed Saeed,
Abstract:
Do you work for an institution that fears it’s DBAs could go rogue on their production databases? Do you want to revoke continuous sysadmin permissions from your DBA team in an attempt to avoid being the next WikiLeak? Do you have concerns that the DBA team is querying sensitive databases? Then, you need Uptight Database Security. Come to this session to learn how to deploy a configurable permission model that provides on-demand access to SQL Server databases. This model allows DBAs to do routine work without sysadmin, elevate permissions to sysadmin only during production emergencies or disaster recovery scenarios. Attendees will leave this session with the fundamental knowledge and scripts to implement a low hassle solution that provides DBAs the minimum necessary access required to maintain a production database server.
Speaker(s): Ronald Dameron,
Abstract:
We’ve all heard the rules for SQL Server like separate your data from your log, watch for a disk queue length over 2, and a low Page Life Expectancy always means memory pressure. All of these used to be true, but on today’s hardware and SQL Server versions – they are dangerously outdated. In this session, we will take on a bunch of these old “givens” of SQL Server that everybody has heard and followed, the underlying technological reasons they were true then, how today’s technology has rendered them obsolete, and what the new rules are that you need to know. So whether you are one of the old guard looking to refresh your set of working SQL Server rules or a member of the up-and-comers looking for the facts to win over the old guard, this session is for you.
Speaker(s): Maxwell Myrick,
Abstract:
Have you ever had a manager standing over your shoulder, wanting to know why a server is running slowly? Or whether or not a server can handle additional workload? What information would you use to answer these questions? How would you share this information with your manager? The answer is baseline metrics. Only if you have baseline performance information can you answer these questions and form a plan to address the issues at hand. In this session, we will be discussing several open source tools you can combine into an inexpensive baselining system you can use to troubleshoot issues and answer important questions. Attendees in this session will learn how to collect important metric data, what data to collect, and how to interpret that data and develop a plan of action to address any issues.
Speaker(s): Tracy Boggiano,
Abstract:
The deployment process is frustrating; an object is missing, an object is deployed in the wrong order or an incorrect version. Deploying to multiple environments like Dev, QA, UAT, and Prod is a challenge whether on-premise or in the cloud. Source controlling database objects is paramount. Team development is required. Database code will only be deployed when changed. Proper security deployment will be repeatable per environment. Together, let us discover how using Database Project will help us with consistent releases. Deployments can cause you trouble but we will share a reliable deployment and version control process. Let’s see how Database Project can help us accomplish this goal.
Speaker(s): Thomas Norman,
Abstract:
Data Science techniques are becoming popular and because statistics usually is teach at the Math Department people think of it as an exact science but Statistic is the science of prediction and expectations. In the exciting of the possibilities that Big Data technology and Data Science techniques are opening, we are forgetting that correlation is not equal than causation and that any design model have intrinsic limitations because of the false positives and false negatives. Dr. Deming said "In God we trust, all others must bring data." but what he really wanted to reach was Wisdom! Data is just the raw material the real goal is Wisdom I have been thinking about the chain toward Wisdom (Data-Information-Knowledge-Wisdom) and wonder how many organizations have reach, at least, the level of Knowledge and if any at all has reached the pinnacle of Wisdom. We are drowning in a sea of data and we are starving for wisdom. In this presentation I intent to expose limitations and opportunities
Speaker(s): Frank Quintana,
Abstract:
Like parents having to break up a fight between battling siblings, SQL Server must do the same for conflicting transactions. We call these Deadlocks and they can present a problem to many DBAs. Deadlocks can be minor fights or major issues making SQL Server continually choose a side like constantly quarreling siblings. To understand how Deadlocking occurs, we must understand what caused the fight . Learning about basic locking and blocking of SQL Server is a great place to start. By the end of this session you will walk away with the knowledge of how the locking/blocking mechanism works, the basics of deadlocking, and what Isolation Levels are . You will know how these can help or hurt your situation. Finally you will have the power to capture, report, and stop the family fighting.
Speaker(s): William Wolf,
Abstract:
With the introduction of SQL Server 2016 SP1 Microsoft has made all of the database design and programming techniques that had been Enterprise Edition features available in Standard Edition. This talk introduces the newly available features and show how they can be of great benefit to Standard Edition users. Some of the highlighted features are: • Compression and COLUMNSTORE • In-Memory database tables and natively compiled code • Table partitioning • Always Encrypted • Row-Level Security and Dynamic Data Masking These features will be explained with examples of how them can benefit even a small or medium size database under standard edition.
Speaker(s): Andrew Novick,
Abstract:
Indexes can be a boon or detriment for database performance. This presentation will present what they are (in layman’s terms) and how they may affect query performance – both from a read (SELECT) viewpoint as well as a data modification aspect (INSERT, UPDATE, DELETE). This session will focus on a deep dive into clustered indexes, Primary Keys, and nonclustered indexes (including B-tree traversal), their syntax and utilization, and their effect on performance in transaction and data warehouse databases. Covering nonclustered indexes will also be examined in detail. There will be many live query demos illustrating index utilization and performance using statistics and query plans. Some knowledge of Management Studio and TSQL is recommended.
Speaker(s): Mike Byrd,
Abstract:
Do you have complex operations that have already been tuned for optimum performance, but still run too long for a good end user application experience? If you do, Service Broker may be the solution. This session will explain the benefits of asynchronous processing in Service Broker compared to other options like SQL Agent jobs or SSIS packages, and how to implement the basic components required. Even in SQL Server 2014, Service Broker lacks a UI integration, which is sometimes a road block for implementations. Not to worry, this session will show you how to configure Service Broker correctly the first time so you can develop easy, foolproof deployments to solve complicated problems.
Speaker(s): Jonathan Kehayias,
Abstract:
SQL Server reduces compilation and optimization overhead by caching and reusing execution plans for the queries. Plan caching helps to reduce CPU load on the server; however, it may also introduce unexpected issues and lead to suboptimal execution plans and performance problems. In this session, Dmitri will explain how plan caching works internally and demonstrate how to address several common issues related to the plan caching. He will talk about parameter sniffing, simple and forced parameterization, OPTIMIZE FOR UNKNOWN strategy, and several other related topics. Finally, Dmitri will provide the guidelines how to reduce CPU load and recompilation overhead in the systems with heavy ad-hoc workload and non-parameterized queries.
Speaker(s): Dmitri Korotkevitch,
Abstract:
We all have automated processes that were built in a rush and as long as everything is right, it works very well. Then, several months later, after you have shoved the relevant knowledge about it to the corner of your brain, something happens that you didnt expect and the process fails. You fix it, and it works again, but something else comes up and it breaks again. This interactive presentation helps to show how to identify the potential break-points in a proces. We will review 2 case scenarios: SFTP process which pulls files from a vendor and a log shipping process. For each scenario, we will disect each part of the process and find out where the vulnerabilities are.
Speaker(s): Glenda Gable,
Abstract:
What do you do when you have a performance or troubleshooting problem that you can’t figure out? One option is to open a support ticket with Microsoft Support (CSS). The CSS engineer will use a specific set of tools to collect and analyze workload data from your SQL Server. Based on this information they might recommend patches, configuration changes, or identify the worst-performing queries. But what if you could bypass support and do all of this analysis yourself? In this session, you'll learn how to use battle tested tools to analyze your workload, read crash dumps, and error logs. Armed with this information, you'll understand the root cause of the problem and propose solutions to performance and stability problems. Finally, you'll learn the basics of debugging SQL Server so that when you finally run into a problem you can't solve, you'll be able to help Microsoft support help you.
Speaker(s): Kerry Tyler,
Abstract:
SQL Server 2017 has finally arrived, bringing with it a host of exciting new features. Of particular interest to BI practitioners and data scientists is the integration of the Python programming language into the SQL ecosystem. This integration opens up a number of possibilities for in-database analytics and intelligent database applications, so let's get started! In this introductory session we'll briefly introduce the Python language and then look at how to install and administer Machine Learning Services. We'll start to demonstrate the power of Python by showing you how to create and run simple scripts from within T-SQL. We'll then discuss some of the powerful open source packages that are available to aid your data analyses. Finally, we'll go through some examples of how to use Python to integrate data analytical methods in real-world situations, and wow your customers with the power of analytics!
Speaker(s): Chris Hyde,
Abstract:
When presented with large SQL Server workloads in a virtual environment, which cross NUMA boundaries, it is very important to understand how the hypervisor presents vNUMA to the SQL Server virtual machine. When there is a NUMA imbalance, it can have as much as a 40% impact on performance, causing a significant effect on your virtual environment. In this session attendees will learn ways to optimize vNUMA including: • How vNUMA works across different processors; and the ways that Intel and AMD are different • Methods for determining if a NUMA imbalance exists • Which settings at the hypervisor, or virtual machine level, should be changed to ensure the best performance
Speaker(s): Shawn Meyers,
Abstract:
Six months ago we went to Spider-man: Homecoming. On the way home I thought “I wonder what the rest of the world thinks of this movie? I wonder what people on Twitter are saying? I wonder if this is that tied to box office performance?” Over the last six months we’ve been building data sets on movies and collecting sentiment analysis of Twitter data. This lead to a journey of data discovery. First to figure out how to capture and analyze social media data from Twitter. Next we needed box office information. After that we wanted to capture sentiment. Then we wanted stock market data. Then we wanted movie information, runtime, rating, Metacritic score, IMDB score, and then how do we get historical data if we want to increase our data set? Once you collect the data how do you store it? How do you display it? All this and more….. but probably just this….because that’s a lot.
Speaker(s): Bradley Ball,
Abstract:
In its origin, Hadoop was created as an open source distributed computing system designed to process massive amounts of data in batches, but the many advantages of the platform lead to an immediate desire to run interactive analytical queries against Data Lakes built on Hadoop. The Stinger initiative accomplished just that! In this session, Luis Figueroa (Solutions Engineer @ Hortonworks) will walk you through the latest advancements that make Hadoop a powerful SQL engine that expands you EDW capabilities with unlimited scale and amazing flexibility. Luis will provide a technical overview of the Hive engine, an update on SQL compatibility with the ANSI standard, real world use cases and a live demo.
Speaker(s): Luis Figueroa,
Abstract:
One of the most exciting new features of SQL Server 2016 is the integration of the R statistical programming language into the platform with the brand-new SQL Server R Services. In this introductory session we'll briefly introduce the R language and then look at how to install and administer SQL Server R Services. We'll start to demonstrate the power of R by showing you how to create and run simple R scripts from within T-SQL. We'll then discuss some of the powerful open source packages that are available to aid your data analyses. Finally, we'll go through some examples of how to use R to integrate data analytical methods in real-world situations, and wow your customers with the power of statistics!
Speaker(s): Chris Hyde,
Abstract:
You know they are there, those small issues that affect performance and are easy to fix, but finding them can be a challenge. This session will show you how to find the low hanging fruit in your environment, explain why the problem exists, and step through how you can make the necessary changes to boost your SQL Server’s performance with a minimal amount of effort. With over 15 years experience, Jonathan will show you how to find common schema and code design problems, to help you get the most bang for your buck when performance tuning SQL Server. By focusing on real-world examples with reproducible workloads, you will easily be able to see the impact of common problems and learn how to fix them quickly for improved performance from the least amount of effort.
Speaker(s): Jonathan Kehayias,
Abstract:
Today's modern global business environment necessitates information being available in the end user's native language. In the past this challenge has been met in a variety of ways with mixed results. Often companies maintain multiple sets of reports and data per language or implement solutions which perform poorly and are difficult to manage. The solution presented here is scalable, easily managed and performs better than commonly used solutions. This session will highlight how to create a pivoted dataset for the translated text, use native SSRS functions and change translations based on the user's browser locale information. At the end of this session you will have a dynamic and robust method to handle multiple languages for reporting.
Speaker(s): David Scott,
Abstract:
Microsoft Cognitive services is a series of services based on Microsoft Research using Deep Learning techniques, ready for you to enrich your unstructured data. Microsoft Services includes: Vision (Computer Vision, Emotion, Face, Video), Speech/Language (Speaker Recognition, Spell, Sentiment, Language, Key Phrases, Topic detection, Linguistic Analysis), Knowledge, and Search. These services are consumed by using the Cognitive Services APIs. Power BI enables you to consume the APIs to enrich your unstructured data inside your Power BI solutions. During this session, we will cover how to consume the API using Power Query to then visualize the results with Power BI visuals. We will also consume the Cognitive services API by using a R script inside Power BI. This session is structured with a B2C Survey case study solution with a real time Dashboard using a streaming dataset.
Speaker(s): Paco Gonzalez,
Abstract:
Come and learn how the SQL Server 2012 feature, ColumnStore Indexes, can parallelize your Data Warehouse aggregations. I will be doing a deep dive into the inner workings of ColumnStore indexes; how they work, key characteristics, dos and don'ts, restrictions, and more. I will have some insight into how CSI's have been updated in SQL Server 2014 2016, as well. If you are a production DBA who needs to find out more about some of the additional hot features that have been included with CSI's, like batch mode processing and data segments, then this session is for you. If you are a BI DBA or developer who needs to find out how CSI's can increase the performance of your aggregations and star-joins by up to 40 times, then this session is also for you.
Speaker(s): Gareth Swanepoel,
Abstract:
A default SQL Server installation is reasonably secure, but quot;reasonably securequot; doesn't cut it in an era in which one bad line of code, one weak password, or one open port can result in your customer database ending up on Pastebin. In this talk, we will look at different methods of securing a SQL Server instance, from venerable (principle of least privilege, Transparent Data Encryption) to novel (Always Encrypted, row-level security). These tools and techniques will show us ways for developers, database administrators, and network specialists to work together to secure SQL Server instances.
Speaker(s): Kevin Feasel,
Abstract:
How to set up a Requirements Analysis to develop successful databases
Speaker(s): Arvin Meyer,
Abstract:
So you're using Azure Sql Database Platform As A Service. Now what? Without a physical machine, how do you do restore? Where are the backup files? When are service packs applied? Can service packs be rolled up thru dev to production? What's a service level and how does it impact database design? How do we encrypt, authorize, query tune, restore...? We'll go over these questions and any others that you may have.
Speaker(s): Jonathon Moorman,
Abstract:
With SQL 2016, Microsoft introduced Temporal tables. In this session we will learn what a Temporal table is, and discuss uses in current environments. We will learn how to create the tables and optimize them for query performance allowing simplicity for the consumers of the data.
Speaker(s): Dale Sullenberger,
Abstract:
This session will cover how to tune a multi-terabyte database where all of the data is stored a single file, primary file group. We will look at file groups, managing indexes and moving large amounts of data.
Speaker(s): Jeff Taylor,
Abstract:
Ever wondered on what is the buzz about Internet of Things (IoT)? and interested in making your own? We will take an look on what is Internet of Things (IoT), the impact of IoT to the world, industries that IoT can disrupt and then, we will provide an overview of building an IoT solutions using various technologies in Azure such as IoT Hub, Functions, Stream Analytics, Power BI, and more.
Speaker(s): John Wang,
Abstract:
One of my favorite new features in SQL Server 2016 is the Query Store. The Query Store houses valuable information on performance of your queries as well as gives you great insights into your query workload. This presentation will take a look at the Query Store, how it works and the type of information it holds. You will learn how to use the Query Store to quickly find plan changes and analyze performance issues caused by them. New DMVs will be introduced and the performance impact of enabling the Query Store will be discussed. Both DBAs and developers can increase their performance tuning skills by attending this session.
Speaker(s): Janis Griffin,
Abstract:
Powershell wants to be your friend - your very powerful friend. In this session we will go over some Powershell basics that will help get you started as well as some known "gotchas" when working in Powershell. This is a beginner session - no Powershell experience necessary. WARNING: You may get warm-fuzzies about Powershell by attending this session.
Speaker(s): Amy Herold,
Abstract:
Want to know the position Master Data Management and MDS play in an organization's overall data strategy? We'll review the key concepts and the different roles and responsibilities to help you get your organization moving forward with MDM. We'll then take a look at the features of SQL Server 2016 MDS that make it an excellent tool for MDM. This demo-packed presentation will cover architecture and installation, different ways of processing data, hierarchies, security and many other features that will get you up and running with MDS.
Speaker(s): Neal Waterstreet,
Abstract:
Now that you have Power BI in your organization the fun has just started! Making sure users get the best experience requires some thought and planning though. Come learn the fundamentals of the Power BI architecture and hear about best practices with assigning licenses, delegating roles, audit log analysis, gateway management and overall Power BI administration based on real-world experiences.
Speaker(s): Dan Evans,
Abstract:
You know it's coming . . . one day soon, you'll be asked to take ownership of a database that uses In-Memory OLTP. Then what? Deploying In-Memory OLTP affects the database ecosystem, including monitoring, data migration, logging, capacity planning, backup, restore, recovery, and more. DBAs need to know optimal methods of migrating large data sets from disk to In-Memory, the differences between restore and recovery for memory-optimized databases, and many other facets of the In-Memory world. Attendees will gain a clear understanding of the knowledge and skills required to administer In-Memory OLTP environments.
Speaker(s): Ned Otter,
Abstract:
Are you new to Power BI Server? Do you want to learn what all the buzz is about and how to use it from a purely novice standpoint? Do you need to ramp up quickly to be able to build some great visualizations? This session is the session that you need! We will walk you through the basic architecture and nuances of Power BI all the while taking a fun adventure to building your first Power BI report. The attendee will leave the class ready to start using Power BI in the real world.
Speaker(s): Ed Watson,
Abstract:
In this session, Harold will provide the overview of SQL Server HA/DR Technologies such as AlwaysOn Failover Clustering, AlwaysOn Availability Groups, Log Shipping, and Replication. You will learn how those technologies are implemented, their benefits, downsides, best use-cases, and choose the propper technology to meet business requirements.
Speaker(s): Harold Velazquez,
Abstract:
The only constant thing is change. As companies continue to migrate to newer versions or different data centers, we need to develop strategies and tools to make sure we can perform successful migrations. What if we had a checklist? Just like moving to a new home the success of the "move" relies on the preparation. This presentation will go over a checklist of steps needed to prepare for a database migration.
Speaker(s): Gilda Alvarez,
Abstract:
This session will cover how to successfully market yourself by attending UserGroups, SQL Saturdays (You are off to a good start) and utilizing Social Media. I will be using real life examples on how I got to where I am today. This session is a motivational topic and will help individuals getting into the field or students.
Speaker(s): Albert Lau,
Abstract:
As PowerShell is the main technology for automation in Windows Datacenters Infrastructure, now becomes clear its importance in other non-Windows Operating Systems. I'll be providing sample on querying database information using Python and PowerShell cross-platform. This demo will show integrate technology using both PowerShell and Python (Anaconda).
Speaker(s): Maximo Trinidad,
Abstract:
Join me as I talk about lessons learned from two years on a Devops team.  I still don't have all the answers (or maybe even all the questions), but I can say this - DBA's have nothing to fear and a lot to gain when an org adopts a devops culture.
Speaker(s): Andy Warren,
Abstract:
Every data has meaning, but we had limitation to use data through big long running process Extraction, Transformation and Representation, but now Power BI solves your problem to kick start having Data extraction in Power Query, Data Modelling and Transformation in Power Pivot and reach data representation using power view and power map on demand any nearby device on your fingertips. Learn how to create Power BI Dashboard from scratch.
Speaker(s): Vishal Pawar,
Abstract:
Dell EMC’s unique integrated copy data management (iCDM) offering combines performance scalability with reduced operational risk through automation and self-services. Maximize the value of your company’s storage deployment by simplifying MS SQL database application workflows and reducing development timelines. In this session, we will discuss how application admins and DBAs can repurpose different copies SQL Server DBs instantaneously and become more agile.
Speaker(s): Bryan Walsh,
Abstract:
It’s no surprise that embarking upon a job search can be a high-anxiety time. However, following an effective job search process and applying best practices when it comes to your resume and professional online marketing channels (including 4 current key resume truths), working with Recruiters, always attempting the "referral route," leveraging alerts and other strategies, etc. can help reduce frustrations and make it better. In this session, we’ll highlight our top 13 strategies to help you go from "I'm not finding jobs I'm interested in" and/or "I'm not hearing back on my resume or from Recruiters" to "it's time to prepare for my interview!"
Speaker(s): Erica Woods,
Abstract:
The world is changing rapidly and the big data ecosystem is enriching their capabilities even more, now there are a set of scalable languages that you can use in the Microsoft Azure environment to tackle and solve different problems, in this session you will learn the best practices, common scenarios and use cases for Hive, Pig, PolyBase, Scala, Python, Spark-SQL and U-SQL, in the end you will be able to understand the best fit for each one of those scalable languages.
Speaker(s): Luan Moreno Medeiros Maciel,
Abstract:
Are you curious about Business Intelligence and how it drives the world around us? In this session, we'll cover high-level technical components of a BI system and the business processes that drive them. Whether you are new to IT in general or considering a career change, you'll come out of this session with a basic understanding of the BI world.
Speaker(s): Kerry Tyler,
Abstract:
In this session, I'll show you how to hack SQL Server using a simple C# console application and other tools. Most importantly, I'll show you how to protect these vectors that perhaps you're trying to use to safeguard sensitive data for GDPR compliance. 1. Tabular Data Stream (TDS) Protocol 2. Dynamic Data Masking 3. Row Level Security (Yep...) 4. Database Source Control Perhaps, you've seen these exploits before but do you really know how to reproduce them? Or, how to even protect yourself against them? No worries, I'll show you the way along with a load test.
Speaker(s): Hiram Fleitas,
Abstract:
SQL is different than most languages. As such, there's a particular style of though that works best with SQL. This presentation will focus on the things that books and tutorials don't. It will provide some perspective about the language and how to break large problems in smaller, more manageable ones. Even if you've been writing SQL, this discussion might make challenging tasks easier!
Speaker(s): Robert Hatton,
Abstract:
One of the highly touted features of SQL 2016 is Dynamic Data Masking (DDM). In this session, we will take an in-depth deep dive into implementing DDM and discover its good, bad, and indifferent features. We will discuss use cases where DDM can help and where it may hinder development, QA, or auditing use cases. Attendees will leave the session with the knowledge needed to deploy a comprehensive DDM solution in their environments should DDM be a match for their use cases. High level data protection and auditing topics will be discussed as well.
Speaker(s): Bill Portman,
This is a list of speakers from the XML Guidebook records. The details and URLs were valid at the time of the event.
LinkedIn: https://www.linkedin.com/in/tracyboggiano
Contact: http://databasesuperhero.com
Tracy Boggiano is a Senior Database Administrator for DocuSIgn. She has spent over 20 years in IT, using SQL Server since 1999, and is currently certified as an MCSE Data Platform. Tracy has worked on SQL Server since 6.5. She has spoken at local user groups and numerous SQLSaturdays. She is currently a co-leader of a TriPASS Local Group in Raleigh, NC. Tracy also tinkered with databases in middle school to keep her sports card collection organized. She blogs at databasesuperhero.com. Her passion outside of SQL Server is volunteering with foster children as their advocate in court through volunteerforgal.org and being a mental health advocate as part of the PAIMI NC Advisory Council.
LinkedIn: https://www.linkedin.com/in/pacosql/
Paco Gonzalez is the CEO of SolidQ North America, and a Microsoft Data Platform MVP. Focused on Business Analytics and Artificial Intelligence, he specializes in helping organizations become data driven from a strategic and technical perspective. Paco is a speaker at small and large conferences such as PASS Summit, Ignite, and Business Applications Summit, and he has published several books and whitepapers. He is based in Atlanta, GA.
LinkedIn: http://www.linkedin.com/pub/mike-byrd/1/aa0/bbb
Contact: http://logicalread.solarwinds.com/?s=byrd, www.TSQLMentoring.com and SQLServerCentral.com
Former rocket scientist and USAF Fighter Pilot -- now a SQL Server geek (24 years)! Past opportunities include free-lance technical writer for PC Magazine, Senior Software Manager for government sponsored munitions effectiveness committee, and insurance company CTO. Currently senior database engineer consultant for several Austin companies. Presenter at many SQL Saturdays over last 6 years in United States, Europe, and Australia. Specialize in SQL Server performance tuning; database (OLTP OLAP) architecture; trouble-shooting; teaching TSQL (Basic through Advanced). Video presentations (for local SQL Server user groups or SQL Saturdays) can be found at http://usergroup.tv/videos/category/speaker/mike-byrd
LinkedIn: https://www.linkedin.com/in/pawarvishal
Contact: http://bimentalist.com/
Vishal Pawar is a Microsoft Data Platform MVP, Microsoft Certified Trainer (MCT), founder of the Global Power BI User Group and co-leader of the PASS Business Analytics Virtual Group. He is a Principal BI Architect in Green House Data, with decades of experience in BI solution architecture and best practices. He has published more than 1000 articles since 2011 in SQL and BI. Vishal teaches a free Power BI course through Udemy, which has more than 65K students from the glob. Vishal is an exceptional technology community of leaders worldwide who actively share their high quality, real-world expertise with the technical communities.
LinkedIn: https://www.linkedin.com/company/sqlha
Contact: http://sqlha.com/blog
Max Myrick is a SQL Server consultant whose experience includes 15 years at Microsoft with 5 years on the SQL Server development team where he ran the SQL Customer Lab and then the Sustained Engineering team. He was an founding member of Microsoft#39;s Mission Critical team where he worked with the largest SQL Server applications worldwide for almost a decade. Max was a regular speaker for Microsoft and has continued to speak at various PASS and other SQL Conferences since becoming a managing partner of SQLHA LLC.
LinkedIn: https://www.linkedin.com/profile/public-profile-settings?trk=prof-edit-edit-public_profile
Contact: https://luanmorenodba.wordpress.com/ amp; http://www.sqlshack.com/author/luan-moreno-m-maciel/
Based out of Brazil, Luan Moreno credits his ability to solve problems to thinking critically before acting. He values working with a team because he and his clients can benefit from various perspectives and collaboration, particularly when faced with difficult issues. When Luan Moreno first became interested in technology, he didn’t have a mentor, so he made a commitment to teaching others in the community and sharing his knowledge through blogging, speaking engagements. Luan Moreno is a addicted Brazilian blogger and speaker. SQL Server MCT, MCSE and MVP living in Brazil. Nowadays he#39;s a Database Consultant at Pythian, company based in Ottawa - Canada.#160;
LinkedIn: http://www.linkedin.com/in/shawnmeyers42
Shawn Meyers is a Field CTO working at Tintri. Shawn has worked in IT for 25+ years and specifically with SQL Server for 20+ years, beginning with version 6.5. A frequent speaker at many events including PASS Summit, VMworld, VMUGs, Virtual Chapter sessions, and many SQL Saturday events. Current focus is on improving DBAs lives with better infrastructure.
LinkedIn: https://www.linkedin.com/in/albertlaudba/
Albert Lau is a Database Administrator (DBA) and has been working with database for over 8+ years starting with SQL Server 2000. Albert started as at Client Services working on SQL Server Reporting Services Reports and worked his way up to becoming a Database Administrator.
LinkedIn: https://www.linkedin.com/in/kerrytyler
Contact: http://airbornegeek.com
Kerry Tyler is a SQL Server, Business Intelligence, and Azure consultant. His initial IT experience was in network engineering and Windows system administration before moving into the data realm. This infrastructure background builds a firm foundation for performance tuning and cloud infrastructure design and implementation. Kerry has full-time DBA experience in SQL Server since version 2000 and business intelligence architecture since SQL Server 2005. In addition to consulting work, he delivers presentations and training on SQL Server administration, business intelligence, and Azure data and infrastructure components.
LinkedIn: http://www.linkedin.com/in/rdameron
Contact: http://RonaldDameron.com
Ronald Dameron is The Only DBA at a small software company building planet-scale mobile resource management software. He has over 20 years IT experience on a variety of platforms. His current interests are Azure, PowerShell, SQL Server 2016 and Linux. He was a PASS Summit 2015 Speaker Idol contestant and has spoken at SQL Saturday Tampa, Orlando, South Florida, and the Tampa and Orlando SQL User groups. He has recently earned the Competent Communicator Award from Toastmasters International. He is most active on Twitter as @RonDBA.
LinkedIn: http://www.linkedin.com/in/FrankQuintanaDataArchitect
Contact: http://www.businessintelligencematters.us
Doctor Quintana has been involved in optimization and math modeling since the ’80s. He is an IT University professor of Data Science, Databases, Data Mining, and Knowledge Discovery. He is a former head of an RD department. He worked as a research engineer at the Memorial University of Newfoundland. He also worked as a consultant in the role of a technical team leader and software architect for EDS responsible for critical parts of the SDLC for multi-million dollar projects. He is one of the Software Architects that designed and built the "Health and Benefits System for the of the Veteran Affairs of Canada" He is a regular speaker at national and international events In 2004 he started his consulting practice in South and Central Flori
LinkedIn: https://www.linkedin.com/in/bpportman
Global DBA Manager with over 20 years experience in data architecture, database administration, and software development leadership roles. Highly successful hands on team leader and mentor. I first fell in love a language called SQL on the AS400. Since then, I've worked with SQL Server versions 6.5 through 2016. I currently manage a 500 server, 10k database infrastructure with a team of five people. My specialties include database administration and architecture, enterprise software development, process re-engineering, project management, policy standards development, vendor management, offshore vendor management, training, team development and leadership.
John Wang is a Back-end .NET Developer. Currently, his interests are IoT, big compute, services, cloud computing, Powershell and SQL topics. He is an frequent speaker at the various Code Camp, Meetup, IT Pro Camp and SQL Saturday.
LinkedIn: https://www.linkedin.com/in/chris-hyde-3803706
Chris Hyde is a Microsoft Data Platform MVP and Microsoft Certified Trainer based in Albuquerque, New Mexico. He works as an independent SQL Server BI and DBA consultant, and is the leader of the Albuquerque PASS local user group. He is also part of the Friends of Redgate program and was a member of the Idera ACE class of 2018. He loves loud music and cricket, but usually not at the same time.
20 years into a career focused on Microsoft technologies and the impact of they make for companies across all industries and verticals. Started at EMC in 2006 and have held numerous leadership roles that champion Microsoft to our field, partners and customers. In my current role at XtremIO, my primary focus is SQL Server and how to unlock agility and end storage inefficiency.
LinkedIn: https://www.linkedin.com/pub/bryancafferky
Contact: https://www.youtube.com/user/Bryancutube256123
Bryan Cafferky is a Big Data and AI consultant. Bryan was previously a Senior Data Science Training Content Developer for Microsoft Worldwide Learning. Prior to this he was a Microsoft Data and AI Enabler for healthcare customers. He is a Microsoft 2017 Data Platform MVP and a 2016 Cloud and Data Center Management MVP. Bryan is the author of Pro PowerShell for Database Developers by Apress, available on Amazon. He leads The RI Microsoft BI User Group, and The Greater Boston Area Data Science Group. He has been working with the SQL Server stack since 1997 and implemented projects in the banking, insurance, e-commerce, utility, and health care industries. He holds a bachelor of science in computer information systems and an MBA.
LinkedIn: https://www.linkedin.com/in/sqlballs
Contact: http://www.sqlballs.com
Bradley Ball is a Sr. Azure Engineer for Microsoft, and former Data Platform MVP. During his IT career Bradley has spent 8 years working as a Defense contractor for clients such as the U.S. Army and The Executive Office of the President of the United States, and the former Data Platform Practice Manager for Pragmatic Works Consulting. He has presented at SQL Saturdays, SSUG's, SQL Rally, DevConnections, SQLBits, SQL Live 360, and the PASS Summit. Bradley can be found blogging on http://www.SQLBalls.com
Contact: https://sqlandy.com
Andy Warren is a SQL Server consultant and trainer based in Orlando, FL. Focusing on administration, performance tuning, and SQL Server patterns and practices, he’s been a SQL Server MVP since 2008. Andy served two terms on the PASS Board of Directors, was a founding principal in SQLServerCentral, and created both the SQLSaturday and SQLRally event models.
Contact: http://sql313.com
Glenda has worked with databases in some form or another for 13 years, and loves working with data. She has worked in the healthcare, state park, construction licensing, and not-for-profit industries. She currently works for LHC Group in Lafayette, LA in BI, handling everything from servers/software maintenance to reporting and all the ETL transactions in between. Glenda is the President of the Acadiana SQL User Group in Lafayette and speaks at local events.
LinkedIn: http://www.linkedin.com/in/nealwaterstreet
Contact: http://www.nealwaterstreet.com
Neal is a BI Architect/Consultant with more than 20 years of industry experience. Neal is skilled in the entire BI spectrum, including dimensional modeling, ETL design and development using Integration Services (SSIS), designing and developing multidimensional cubes and Tabular models using Analysis Services (SSAS) and Master Data Management using Microsoft Data Services (MDS). He's also involved with the database community and is the co-founder and co-leader of the PASS Healthcare Virtual Chapter and the Atlanta Modern Excel User Group.
LinkedIn: https://www.linkedin.com/pub/dmitri-korotkevitch/5/980/b7
Contact: http://aboutsqlserver.com
Dmitri Korotkevitch is a Microsoft Data Platform MVP and Microsoft Certified Master, author of Pro SQL Server Internals and other books with years of experience working with SQL Server as an Application and Database Developer, Database Administrator, and Database Architect. Dmitri specializes in the design, development, and performance tuning of complex OLTP systems that handle thousands of transactions per second around the clock. He blogs at: http://aboutsqlserver.com.
LinkedIn: http://www.linkedin.com/in/watsoned
Contact: http://sqlgator.com
Ed Watson is a Principal Data Platform Consultant for Improving Enterprises, a full-stack Microsoft consulting firm in Atlanta. Ed is a Microsoft Data Platform MVP since 2014 and like most children, Ed was born at an early age. Today, Ed specializes in the Business Intelligence stack and enjoys specializing in Power BI immensely. He currently lives in Atlanta and is active with the Atlanta MDF and Atlanta BI user groups and is an organizer for SQL Saturday Atlanta, Atlanta BI, and Pensacola.
Contact: https://www.sqlskills.com/blogs/jonathan
Jonathan Kehayias is a Principal Consultant and trainer with SQLskills, and has been recognized as a Microsoft Data Platform MVP for over 10 years, and was the youngest person ever to achieve the Microsoft Certified Master – SQL Server certification. He has presented at numerous conferences including PASS Summit and SQL Rally, SQLBits, VMware Open Forum, SQLintersection, and multiple SQLSaturdays around the world. As a performance tuning and high availability expert for SQL Server, Jonathan has architected and implemented complex systems and solutions for some of the worlds most challenging workloads.
She graduated from the University of Central Florida with MIS and Computer science degrees. She has over a decade of experience in Enterprise Information Technology solutions for several Fortune 500 companies. In depth and applied knowledge of database administration with emphasis on high availability and disaster recovery solutions, security audits, database health checks, capacity planning, resource utilization analysis and enterprise database migrations. She is a big advocate of technical and leadership education in her community. She loves to spend time with her family, friends and dance Latin music.
LinkedIn: https://www.linkedin.com/in/jonathonmoorman
Jon has developed using Sql Server since version 6.0! Easily distracted by shiny objects, he has always been on the bleeding edge of sql development. When not presenting, Jon might be found backpacking, hiking, camping, canoeing, or simply resting at home with a good scifi book.
Contact: http://mygareth.com
Gareth Swanepoel is a sysadmin-turned-SQL Server DBA. He has been working in the IT industry doing support and administration for over 25 years. He enjoys solving the complex problems that customers encounter when performance tuning SQL Server or when deploying SQL Server in large data warehouse environments. He is originally from South Africa and is currently a Dedicated Support Engineer (PFE) with Microsoft. He is a passionate member of the SQL Server community and is an accomplished author and speaker having presented at various user groups, SQL Saturdays, the PASS Summit and other technical conferences.
LinkedIn: https://www.linkedin.com/pub/arvin-meyer-mvp/24/882/376
Having 16 consecutive MVP awards, Arvin maintains the Access Web http://www.mvps.org/access, an Access download site on his domain (http://www.datastrat.com), owns and is webmaster of http://www.accessmvp.com, and several client websites. A Microsoft Certified Professional and Microsoft MVP, Arvin writes freelance technology articles, is an author of a book on Access, leads the Access, Office, and Security Special Interest Groups at the Central Florida Computer Society.
LinkedIn: Linkedin: http://www.linkedin.com/pub/max-trinidad/12/47/775/
Contact: http://www.maxtblog.com
Maximo Trinidad (Florida Aka – Mr. PowerShell), currently work as a SAPIEN Technologies Evangelist and specialing in scripting automation on SQL Server Microsoft Cloud Technologies. Also a Microsoft MVP (PowerShell) since 2009 and active speaker since 2007 participating at SQLSaturday, IT Pro .NET Code Camps events.
LinkedIn: http://www.linkedin.com/in/drevans02
Dan Evans is a Data and Analytics evangelist with over 25 years’ experience deploying strategic and innovative analytic solutions. He’s focused on Microsoft technologies including Data Platform, Advanced Analytics and Business Applications. Current focuses include SQL Server, Power Suite, Cognitive Services, Artifical Inteligence and other Data Platform related topics in Azure. Dan presents at many local, regional and national events including SQL PASS, DAMA, TDWI, TechEd and Ignite and supports best practices in Microsoft data and analytics across North America.
LinkedIn: https://www.linkedin.com/in/chris-hyde-3803706
Chris Hyde is a Microsoft Data Platform MVP and Microsoft Certified Trainer based in Albuquerque, New Mexico. He works as an independent SQL Server BI and DBA consultant, and is the leader of the Albuquerque PASS local user group. He is also part of the Friends of Redgate program and was a member of the Idera ACE class of 2018. He loves loud music and cricket, but usually not at the same time.
LinkedIn: https://www.linkedin.com/pub/kevin-feasel/7/716/504
Contact: http://www.catallaxyservices.com
Kevin Feasel is a Microsoft Data Platform MVP and CTO at Envizage, where he specializes in data analytics with T-SQL and R, forcing Spark clusters to do his bidding, fighting with Kafka, and pulling rabbits out of hats on demand. He is the lead contributor to Curated SQL (https://curatedsql.com), president of the Triangle Area SQL Server Users Group (https://www.meetup.com/tripass), and author of PolyBase Revealed (https://www.apress.com/us/book/9781484254608). A resident of Durham, North Carolina, he can be found cycling the trails along the triangle whenever the weather's nice enough.
Harold (MSCE, MSMIS) has been working with SQL Server for over 18 years focusing on high availability, disaster recovery, OLTP databases, virtualization, and performance troubleshooting. Currently he is working as Sr. Enterprise Database Administrator at Chewy.com managing mission-critical, highly transactional SQL Servers environments with little or no maintenance windows, and 100% uptime business requirement.
LinkedIn: http://www.linkedin.com/in/aherold
Contact: http://www.sqlkitten.com/
Amy Herold is currently a Premier Field Engineer with Microsoft, specializing in APS. Prior to this, she was a Sr. Database Administrator, focusing on PowerShell and automation. She is also currently the Director of Programs for the North Texas SQL Server User Group (NTSSUG). She frequently speaks at SQL Saturday and user group events across the United States and has also participated in numerous Women in Technology sessions as a panelist. Amy currently blogs at sqlkitten.com.
LinkedIn: https://www.linkedin.com/in/david-scott-0739aa1a/
Dave is a Florida native who grew up and attended high school in St. Petersburg, FL. He served six years (1994 -2000) in the US Army as a UH-60 Black Hawk mechanic and crew chief with the 50th Medical Company (Eagle DUSTOFF) of the 101st Airborne Division at Ft. Campbell, KY. After leaving the Army he attended the University of Central Florida in Orlando, FL where he received is BS in Information System Technologies in 2004. Dave recently earned his MCSA in Business Intelligence and is currently employed with eBECS N.A. as a Business Intelligence Consultant. In his spare time Dave enjoys inshore fishing, BBQ, and spending time with friends and family. Seeking a new challenge, Dave recently took up Golf. He had the shirts, so why not?
LinkedIn: https://www.linkedin.com/in/rob-hatton-3ab4b845
Contact: http://www.RobertJHatton.com
Rob Hatton is the author of the Business Intelligence Team Handbook. Rob is also a past president of the PASS Business Intelligence User Group here in Tampa. He is a veteran B.I. developer with more than 30 years of database experience and dozens of successful B.I. project deployments.
LinkedIn: http://www.linkedin.com/in/armordba
Contact: https://armordba.com/
Tom Norman is a Database Architect at KPA with a strong fervor to protect data. He works daily to review and improve data protection methodologies while reviewing governing laws affecting finance, healthcare, and personal data. His areas of expertise include encryption, auditing, data identification, and database object deployment. He is the current leader of the PASS Virtualization Group and Vice President of the TRIPASS user group. You can read his blog at https://armordba.com/ and reach him on twitter at @armordba. Tom speaks at a number of SQLSaturday events and SQL Server user groups.
LinkedIn: https://www.linkedin.com/in/aspnerd
Contact: https://blog.reviewmydb.com
Jeff Taylor is a Senior Software Data Architect. His work with databases began with SQL Server 6.5 over 22 years ago. He specializes in performance tuning and critical operational database issues. Currently he is serving as the President of the Jacksonville SQL Server Users Group and is an active board member of the Jacksonville Development Users Group.
LinkedIn: https://www.linkedin.com/in/luisefigueroa
Contact: http://blog.luisfigueroa.net
Luis Figueroa is a data professional with more than 15 years of experience in Information Technologies across many industry verticals. Luis has held a variety of positions in IT such as Network Administrator, Systems Engineer, Database Administrator and EDW / BI Architect. In the most recent years Luis found his passion in architecting and developing open source data centric solutions that help businesses manage their data and gain a competitive advantage through analytics. Luis currently holds a position as Solutions Engineer for Hortonworks, Inc. where he works with many clients including Fortune 500 companies. Luis’ main focus areas are in Data Warehousing, Business Intelligence, Advanced Analytics, Big Data, IoT and Cloud Computing.
LinkedIn: https://www.linkedin.com/in/michaelpantonovich?
Contact: http://sharepointmike.wordpress.com
Michael Antonovich is the assistant director of Web and Technology Services in the Communications Division for Orange County Public Schools in Orlando, FL, where he manages the Internet and intranet infrastructure. He has published seven books, ranging from an Apple II User Guide to Office and SharePoint 2010 User's Guide. His blog has focused mainly on PowerPivot and Power BI, but for the last year Mike has taken a break to pursue some other activities. He hopes to restart his blog later this year focusing more on style and presentation. Mike has used SQL Server since 1998 and, for the past 7 years, has been promoting SSAS, PowerPivot, and Power BI for the masses.
LinkedIn: https://www.linkedin.com/in/ned-otter-3627b712
Contact: http://www.nedotter.com
DBA with vast experience administering Microsoft SQL Server since version 4.21 to the present. Certifications: MCSE SQL Server 2012 Data Platform MCTS SQL Server 2008 Overall computer experience: 25 years SQL Server experience: 23 years Currently obsessed with In-Memory technology. Please see LinkedIn profile for more details.
Contact: https://www.sqlskills.com/blogs/jonathan
Jonathan Kehayias is a Principal Consultant and trainer with SQLskills, and has been recognized as a Microsoft Data Platform MVP for over 10 years, and was the youngest person ever to achieve the Microsoft Certified Master – SQL Server certification. He has presented at numerous conferences including PASS Summit and SQL Rally, SQLBits, VMware Open Forum, SQLintersection, and multiple SQLSaturdays around the world. As a performance tuning and high availability expert for SQL Server, Jonathan has architected and implemented complex systems and solutions for some of the worlds most challenging workloads.
LinkedIn: https://www.linkedin.com/in/williamjwolf
Contact: http://www.sqlwarewolf.com
Bill is the Manager of SQL Server Performance Tuning for RDX. He works with over 400 customers on solutions within the SQL Server environment and specialized in code tuning and mentoring the team within RDX. He has become a SQL Saturday veteran speaking at nearly 40 SQL Saturdays in the last 3 years. He has also spoken at Summit and is an Idera Ace class of 2018. Bill is active in the Pittsburgh SQL Server User Group. He is also the chapter lead for the DevOps Virtual User Group. He is passionate about educating users on SQL Server and mentoring others.
LinkedIn: https://www.linkedin.com/in/ericawoods
Contact: https://www.mssqltips.com/sqlserverauthor/128/erica-woods/
Erica Woods is the Manager of Contractor and Community Relations at Apex Systems, a national IT Staffing and Services firm. Her focus is on program management, training and development, customer relations, community evangelism and corporate social responsibility, communications, marketing and social media. She has 10 years of IT staffing, an MBA from Loyola University, is an Author at MSSQLTips, and runs a group called Techies for Good.
LinkedIn: http://www.linkedin.com/pub/janis-griffin/0/914/aba
Janis Griffin has over 30 years of DBA/database experience including design, development and implementation of many critical database applications. Before coming to Quest Software, Janis primarily worked in the Telecom/Network Industry, working with both real-time network routing databases and OLTP business to business applications. Janis also held positions as a Principal Architect and Senior Manager, mentoring other DBAs on best practices in database performance tuning.
LinkedIn: https://www.linkedin.com/in/andrewnovick/
Andrew Novick is a SQL Server consultant building business solutions with the Microsoft tools. His expertise in database design, T-SQL coding, SQL Server security, database performance tuning, and database partitioning can be a valuable asset to many projects. Andrew Novick also offers training and mentoring services to relevant projects. His writing on computing can be seen at his web site http://www.NovickSoftware.com
LinkedIn: https://www.linkedin.com/in/kerrytyler
Contact: http://airbornegeek.com
Kerry Tyler is a SQL Server, Business Intelligence, and Azure consultant. His initial IT experience was in network engineering and Windows system administration before moving into the data realm. This infrastructure background builds a firm foundation for performance tuning and cloud infrastructure design and implementation. Kerry has full-time DBA experience in SQL Server since version 2000 and business intelligence architecture since SQL Server 2005. In addition to consulting work, he delivers presentations and training on SQL Server administration, business intelligence, and Azure data and infrastructure components.
LinkedIn: ?https://www.linkedin.com/in/sayed-saeed-68079a18?
Contact: http://www.plusconsulting.com/blog/
Sayed Saeed is the Business Intelligence Practice Director at Plus Consulting. He is highly proficient in developing targeted BI solutions for clients and offers solid knowledge and experience in BI products that help organizations better leverage information to effectively manage business. He is a Microsoft Certified Solutions Expert in Business Intelligence as well as Oracle Certified Professional.
LinkedIn: http://www.linkedin.com/in/hiramfleitas
Contact: http://fleitasarts.com
Hiram Fleitas develops and manages database applications and AI bots using Machine Learning models trained on natural language, claims, policy, and social media data to predict business opportunities that grow customer satisfaction and loyalty in real-time. He's worked with SQL Server for over 20 years, with some of the largest companies in the world. He's spoken on SQL Server, Azure and Power BI at User Groups, Code Camps, SQLSaturdays, and corporate events. He coded his first program in BASIC at 13 years old and developed a passion for computers ever since. Hiram is also a code contributor to several open source projects and serves as the IS Flotilla Staff Officer for the United States Coast Guard Auxiliary.
LinkedIn: http://www.linkedin.com/in/dale-sullenberger-73295413
Dale lives in Valrico, FL with his wife Connie and son Nathan, three dogs and two cats. While there is some prior user level database experience, Dale has been working with SQL Server in some manner since 1997, and has been in a DBA role for 13 years.
The following is a list of sponsors that helped fund the event.


|
||||||||||
| PREV CLASS NEXT CLASS | FRAMES NO FRAMES | |||||||||
| SUMMARY: NESTED | FIELD | CONSTR | METHOD | DETAIL: FIELD | CONSTR | METHOD |
java.lang.Object coins.alias.util.BitVector coins.alias.alias2.TagVector2
BitVector where each bit represents an object. Aggregate type objects correspond to several bits. The last bit is specially used for external objects.
| Field Summary | |
(package private) Var |
fAssociatedParam
|
(package private) boolean |
fIsDefinite
|
| Fields inherited from class coins.alias.util.BitVector |
fBitLength, fLongWordLength, fShiftMax, fVectorWord |
| Constructor Summary | |
(package private) |
TagVector2(int pBitCount)
Creates a new instance of TagVector2 with the specified bit length. |
| Method Summary | |
boolean |
equals(java.lang.Object pObject)
The equality for two BitVector objects is specified
by vectorEqual |
void |
resetBit(int pIndex)
Resets the bit at the specified position. |
void |
setBit(int pIndex)
Sets the bit at the specified position. |
(package private) BriggsSet |
toBriggsSet()
Returns the BriggsSet view of this BitVector . |
java.lang.String |
toString()
Returns a String representation of this
BitVector . |
BitVector |
vectorAnd(BitVector pOperand2,
BitVector pResult)
Performs the bitwise AND operation between this BitVector and the argument pOperand2 ,
and stores the result into pResult . |
BitVector |
vectorCopy(BitVector pResult)
Copies the contents of this BitVector into
the specified argument. |
BitVector |
vectorNot(BitVector pResult)
Performs the bitwise NOT operation on this BitVector
and store the result into the specified argument. |
BitVector |
vectorOr(BitVector pOperand2,
BitVector pResult)
Performs the bitwise OR operation between this BitVector and the argument pOperand2 ,
and stores the result into pResult . |
BitVector |
vectorReset()
Resets all the bits of this BitVector . |
BitVector |
vectorSub(BitVector pOperand2,
BitVector pResult)
Performs the bitwise subtraction operation between this BitVector and the argument pOperand2 ,
and stores the result into pResult . |
BitVector |
vectorXor(BitVector pOperand2,
BitVector pResult)
Performs the bitwise exclusive OR (XOR) operation between this BitVector and the argument
pOperand2 , and stores the result into
pResult . |
| Methods inherited from class coins.alias.util.BitVector |
bitVectorIterator, getBit, getBitLength, getVectorWord, getWordLength, isSet, isZero, toStringDescriptive, vectorEqual |
| Methods inherited from class java.lang.Object |
clone, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait |
| Field Detail |
boolean fIsDefinite
Var fAssociatedParam
| Constructor Detail |
TagVector2(int pBitCount)
pBitCount
- the bit length of the TagVector2.| Method Detail |
public void setBit(int pIndex)
setBit
in class BitVector
pIndex
- the bit position the bit at which is to be set.public void resetBit(int pIndex)
resetBit
in class BitVector
pIndex
- the bit position the bit at which is to be reset.public BitVector vectorNot(BitVector pResult)
BitVector
and store the result into the specified argument.
The argument must have the same length as this
BitVector
.
vectorNot
in class BitVector
pResult
- the BitVector
where the result
of the NOT operation is stored.
pResult
, the result of the NOT operation.public BitVector vectorAnd(BitVector pOperand2, BitVector pResult)
BitVector
and the argument pOperand2
,
and stores the result into pResult
.
Both pOperand2
and pResult
must
have the same length as this BitVector
.
vectorAnd
in class BitVector
pOperand2
- the BitVector
with which this
BitVector
is ANDed.pResult
- the BitVector
where the result
of the AND operation is stored.
pResult
, the result of the AND operation.public BitVector vectorOr(BitVector pOperand2, BitVector pResult)
BitVector
and the argument pOperand2
,
and stores the result into pResult
.
Both pOperand2
and pResult
must
have the same length as this BitVector
.
vectorOr
in class BitVector
pOperand2
- the BitVector
with which
this BitVector
is ORed.pResult
- the BitVector
where the
result of the OR operation is stored.
pResult
, the result of the OR operation.public BitVector vectorXor(BitVector pOperand2, BitVector pResult)
BitVector
and the argument
pOperand2
, and stores the result into
pResult
. Both pOperand2
and
pResult
must have the same length as this
BitVector
.
vectorXor
in class BitVector
pOperand2
- the BitVector
with which
this BitVector
is XORed.pResult
- the BitVector
where
the result of the XOR operation is stored.
pResult
, the result of the XOR operation.public BitVector vectorSub(BitVector pOperand2, BitVector pResult)
BitVector
and the argument pOperand2
,
and stores the result into pResult
.
Both pOperand2
and pResult
must have
the same length as this BitVector
.
vectorSub
in class BitVector
pOperand2
- the BitVector
by which amount
this BitVector
is reduced (the second operand
of the bitwise subtraction operation).pResult
- the BitVector
where the result
of the subtraction operation is stored.
pResult
, the result of the subtraction
operation.public BitVector vectorCopy(BitVector pResult)
BitVector
into
the specified argument. The argument must have the same
length as this BitVector
.
vectorCopy
in class BitVector
pResult
- the destination of the copy operation.
pResult
, the result of the copy operation.public BitVector vectorReset()
BitVector
.
vectorReset
in class BitVector
BitVector
with all the bits reset.BriggsSet toBriggsSet()
Returns the BriggsSet view of this BitVector
.
BitVector
does not perform well for scanning,
so this method is for efficient scanning (while this set is
not modified). Change to the set returned by this method
will NOT be reflected in this bit vector and vice versa.
This method checks if this BitVector
has
been modified after the previous call to this method,
and if not, returns the BriggsSet
instance
returned by the previous call. If this BitVector
has been modified since the previous call, or there has
never been such a call, then it returns a new copy of
the BriggsSet
synchronized with the current
state of this BitVector
. So if the
BriggsSet
instance returned by a previous
call to this method has been modified while this
BitVector
itself has not been modified,
this method will return the same BitVector
. In general, the BriggsSet
instance returned by this method should not be modified.
BriggsSet
view of this TagVector2.public boolean equals(java.lang.Object pObject)
BitVector
BitVector
objects is specified
by vectorEqual(). This method returns true if and
only if the specified argument pObject
is an
instance of BitVector
, its length is equal to
the length of this BitVector
, and
vectorEqual((BitVector)pObject)
returns true.
- Overrides:
equals
in class BitVector
- Parameters:
pObject
- the object to be compared with this
BitVector
.
- Returns:
- true if the specified argument
pObject
is a BitVector
having the same length as this
one and vectorEqual((BitVector)pObject)
returns true. - See Also:
BitVector.vectorEqual(coins.alias.util.BitVector)
public java.lang.String toString()
BitVector
String
representation of this
BitVector
. The resultant String
contains the bit positions of the set bits separated by spaces.
toString
in class BitVector
String
representation of this
BitVector
.
|
||||||||||
| PREV CLASS NEXT CLASS | FRAMES NO FRAMES | |||||||||
| SUMMARY: NESTED | FIELD | CONSTR | METHOD | DETAIL: FIELD | CONSTR | METHOD |


Diff - Left File: TEGE/TEGE990/ReturnData990.xsd (2009v1.4) Right File: TEGE/TEGE990/ReturnData990.xsd (2009v1.5)
OLD: TEGE/TEGE990/ReturnData990.xsd (2009v1.4)
NEW: TEGE/TEGE990/ReturnData990.xsd (2009v1.5)
OLD line(s): 143
<xsd:include schemaLocation="IRS990/AffiliateListing.xsd"/>
NEW line(s): 143
<xsd:include schemaLocation="../Common/Dependencies/AffiliateListing.xsd"/>


The Witcher 3 is considered to be one of the finest RPGs in gaming and that’s for a very good reason. The game offers gorgeous visuals as well as an engrossing story. Tying everything together is tight combat and excellent gameplay mechanics. Add to this the middle age setting that combines swords and sorcery, and you have a recipe for awesomeness |
The Grand Theft Auto series is a legend in gaming and it’s games have usually set high standards. It’s latest game, Grand Theft Auto V is no different, offering a huge map as well as a wide variety of gameplay mechanics that range from driving, shooting and flying. This time around, the game offers three sets of protagonists. There is also a new online mode that lets players wreck havoc even after they are done with the main storyline |
Like it’s GTA brethren, Red Dead Redemption 2 offers a huge open world with loads of things to do. It also offers a deep and engaging narrative about, family, friends, betrayal and of course, redemption. Further, the gameplay is slick and graphics are among the best available right now. It is the ultimate ‘cowboy simulator’. |
Bethesda is known for its massive RPG’s and Elder Scrolls V: Skyim took things to a whole new level. The game offers a fantastic world that is filled with elves, magicians and dragons. However, the huge map is filled with tons of things to discover and side quests to complete. So much so that you’ll most probably end up getting side-tracked when playing the game |
Doom: Eternal takes the insane FPS action of Doom (2016) and cranks the craziness up a notch. The game is as action packs as before, but this time around, it offers better traversal mechanics as well as tweaks gameplay. Not to mention the heavy metal soundtrack that suits the game perfectly |
Forza Horizon 4 is a gorgeous racing game that is set in a fictitious version of Great Britain. The game offers swathes of beautiful countryside compared with the narrow, twisting roads of cities to offer a mixed gameplay. New to the series is seasons which change the gameplay a bit. So in winter, the track is covered in snow, making for a tricker driving experience |


8.3.5. Fabry Perot interferometer.
Download Python script: FabryPerot.py
When two partial reflecting mirrors with reflectivity, \(R\), (transmission \(= 1 - R\)) are precisely aligned parallel, illuminated by a diffuse, broad, monochromatic source and are separated a distance, \(d\), from each other, a set of concentric rings can be observed on a screen after imaging with a lens. These rings are the result of interference of multiple beams and because of that, the Fabry Perot belongs to the class of multiple beam interferometers.The sharpness of the rings depends on the reflectivity of the mirrors and the ring- or fringe contrast is represented by the finesse of the Fabry Perot.
The Fabry Perot is very suitable to measure the wavelength difference of two sources emitting at wavelengths close together. In general the two wavelengths will produce two sets of concentric rings, which will overlap for certain conditions.
In the first experiment the 550 nm line (from a green mercury lamp) is splitted by some means (for example by the Zeeman effect) and is measured by variation of the distance, \(d\), between the mirrors.
In the second experiment a medium with refractive index larger than one is inserted between the mirrors and the index is measured, again by varying the distance between the two mirrors.
Experimental set-up of a Fabry Perot interferometer illuminated by a sodium (Na) lamp. The two Na D1 and D2 lines at 589.6 nm and 589.0 nm produce two sets of concentric rings observed with a CCD camera.
Download Python script: FabryPerot.py
<IP_ADDRESS>. Measurement of the distance between two wavelengths.
<IP_ADDRESS>. Measurement of the refractive index of a medium.
Derive a theory from which the refractive index of a medium between the two mirrors can be determined from overlap-measurements (modify the formula derived for experiment 5.1)
Switch on the line-splitting and the medium and measure the distances, \(d\), where overlap of the fringes occurs.
Determine the refractive index, \(n_f\), from the measurements using the wavelength measured in the first experiment.
<IP_ADDRESS>. Questions about the Fabry Perot interferometer.
Calculate the finesse of this Fabry Perot for mirror reflectivity \(R\) = 70%.
What is the minimum wavelength separation that can be measured for a distance between the mirrors of 2.0 mm and at reflections of 70 %?
Can one measure the separation of the two yellow sodium D-lines with the overlap method of the Fabry Perot set-up of this exercise?


menu
New Post
pin_drop
Location
segment
Category
Title
Price
Specific Location (optional)
Description


The SharpSvn project provides frequent builds of the current development tree. These versions are not fully tested, but may contain bugfixes (and new bugs) that are not in released versions. If you are testing these daily builds (Thanks!) and find issues in it, please report those issues with the exact version.
The build script also supplies an x64 version of this Win32 build and a package of all binaries with some extras.
You can find older daily releases in the daily folder of documents & files. The previous version of this report is still available in our Subversion Repository.
Published daily builds will be available for at least a month after they are build.
| 2009-10-02 | |||
| [r1354] | rhuijben | /branches: 1.500x, 1.500x/src/SharpSvn.Tests/Commands/StatusTests.cs, 1.500x/src/SharpSvn.Tests/ExternalsTests.cs, 1.500x/imports/svn-dist/Wix/X64.wxs, 1.500x/imports/svn-dist/Wix/Win32.wxs, 1.500x/imports/SharpSvn-SvnI18n/SharpSvn-SvnI18n.vcproj | |
| Merge r1064 from ^/trunk to fix VS2008 test project | |||
| [r1353] | rhuijben | src/SharpSvn.Tests: SharpSvn.Tests-VS2008.csproj, SharpSvn.Tests.csproj | |
| Synchronize 2005 and 2008 projects. Add missing files to the 2005 version |


| Constants |
| DISCRETE |
This specifies that the animation function will jump from one value to the next without any interpolation.
|
| LINEAR |
Simple linear interpolation between values is used to calculate the animation function.
This is the default.
|
| PACED |
Defines interpolation to produce an even pace of change across the animation.
This is only supported for values that define a linear numeric range, and
for which some notion of "distance" between points can be calculated
(e.g. position, width, height, etc.).
|
| SPLINE |
Interpolates from one value in the values list to the next according to a
time function defined by a cubic Bezier spline. The points of the spline are
defined in the KeyTimes attribute, and the control points
for each interval are defined in the KeySplines attribute.
|
| Constants' Details |
DISCRETE
const short DISCRETE = 0;
- Description
- This specifies that the animation function will jump from one value to the next without any interpolation.
|
|
LINEAR
const short LINEAR = 1;
- Description
- Simple linear interpolation between values is used to calculate the animation function.
This is the default.
|
|
PACED
const short PACED = 2;
- Description
- Defines interpolation to produce an even pace of change across the animation.
This is only supported for values that define a linear numeric range, and
for which some notion of "distance" between points can be calculated
(e.g. position, width, height, etc.).
|
|
SPLINE
const short SPLINE = 3;
- Description
- Interpolates from one value in the values list to the next according to a
time function defined by a cubic Bezier spline. The points of the spline are
defined in the KeyTimes attribute, and the control points
for each interval are defined in the KeySplines attribute.
|
|
Top of Page
Copyright © 2013, The Apache Software Foundation, Licensed under the Apache License, Version 2.0. Apache, the Apache feather logo, Apache OpenOffice and OpenOffice.org are trademarks of The Apache Software Foundation. Other names may be trademarks of their respective owners.


Name: Candidate-Tracker Application
Developer: Tanmoy Chaudhury
Build: Build in Bangalore
Year: 2017
Version: 1.0
Description: Candidate-Tracker is simple and user-friendly web application used for storing and show-casing candidate details


{% load staticfiles %}
@RenSkinKCL<EMAIL_ADDRESS>King’s College London, Virginia Woolf Building, 22 Kingsway, WC2B 6LE
Designed, developed, and maintained by King's Digital Lab
We use cookies to track usage and preferences.
Accept
Privacy & cookie policy


VANYA ON 42ND STREET A film review by Steve Rhodes Copyright 1995 Steve Rhodes
RATING (0 TO ****): *** 1/2
VANYA ON 42ND STREET comes from a unique idea. Andre Gregory (from My Dinner With Andre fame) has for years been gathering actor and actress friends of his to do the Anton Chekhov play UNCLE VANYA for fun at an off-Broadway theater. They invite a dozen of their friends to watch it and they do the play, sans costumes, just for the sheer enjoyment of acting.
Louis Malle heard of this and decided to film and direct one of these gatherings. The play was updated (read modernized) by the great contemporary playwright, David Mamet. You may remember Mamet from many of his well written movies--my favorites being HOUSE OF GAMES (1987) and THINGS CHANGE (1988). His staccato style of terse, biting, and thought provoking dialog is unrivaled. (Okay, it is sort of like Harold Pinter, but Pinter is so depressing).
The show starts with the people coming slowly in off of 42nd Street to the old Shubert Theater which is mainly in ruins now. Andre Gregory has a small speaking role as the leader of the audience of a dozen friends. Out of no where the play begins. It is as if they had come to your old house and were putting on a play just for you in your living room.
In the play Uncle Vanya is played with great gusto by Wallace Shawn (the other person in MY DINNER WITH ANDRE). He is a Russian living at the family's country estate with his niece (Brooke Smith) who is madly in love with the country doctor (Larry Pine) who visits almost every day. Sad to say the love is not mutual. Also on the estate is the niece's Father--a professor and his new wife, Yelena (beautifully played by Jullianne Moore as a classic flirt). There are several other actors and actresses with important parts in the play. All did a wonderful job, but for me it was Shawn and Moore that really stood out as giving terrific performances.
In the play, Vanya is very sad because he has worked hard all of his life, and he thinks that at the age of 47 he is now too old to be of interest to women. (47--imagine that!) He is head over heels in love with the professor's wife--his sister having died before the play starts and the professor having married Yelena. Yelena flirts intensively with Vanya. Watch the camera angles which intensifies their close face-to-face flirting. It turns out however that Yelena indeed does not find Vanya at all attractive--just as he feared.
Yelena, on the other hand, confides in a great woman-to-woman talk fest with her stepsister that she thought she loved the professor when she married him but now realizes that she did not love him then and certainly does not love him now, and yet, she can not leave him. She confesses that she is terribly unhappy with her life.
The play is one great scene after another. I do not remember the original UNCLE VANYA so I can not say for sure how much Mamet modified it, but I suspect a fair amount. Whatever. I found the dialog fairly perfect as presented in this movie.
I recommend VANYA ON 42ND STREET to everyone old enough to be interested in serious material. It is rated PG simply because of its adult themes--there is no sex, nudity, or violence of any kind. It is not a happy movie, but it is a very thought provoking one. I award it *** 1/2. It runs a well paced 1:59.
**** = One of the top few films of this or any year. A must see film. *** = Excellent show. Look for it. ** = Average movie. Kind of enjoyable. * = Poor show.  Totally unbearable.
REVIEWED WRITTEN ON: November 29, 1994
Opinions expressed are mine and not meant to reflect my employer's.
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
The formatting of the review is likely to differ from the original due
to ASCII to HTML conversion.
Related links: index of all rec.arts.movies.reviews reviews


Welcome to the MainController of this flow-based App provided as example.
The MainController is a subclass of TemplateController. This kind of controllers load their html from a micro-template file located in the frontend/views directory of this flow based app.
Do you have the Helios IDE open? Then, for example, you can..
Inspect the MainController instance


| strex-package | 'strex': extra string manipulation functions |
| before-and-after | Extract text before or after 'n'th occurrence of pattern. |
| currency | Extract currency amounts from a string. |
| match_arg | Argument Matching. |
| strex | 'strex': extra string manipulation functions |
| str_after_first | Extract text before or after 'n'th occurrence of pattern. |
| str_after_last | Extract text before or after 'n'th occurrence of pattern. |
| str_after_nth | Extract text before or after 'n'th occurrence of pattern. |
| str_alphord_nums | Make string numbers comply with alphabetical order. |
| str_before_first | Extract text before or after 'n'th occurrence of pattern. |
| str_before_last | Extract text before or after 'n'th occurrence of pattern. |
| str_before_last_dot | Extract the part of a string before the last period. |
| str_before_nth | Extract text before or after 'n'th occurrence of pattern. |
| str_can_be_numeric | Check if a string could be considered as numeric. |
| str_elem | Extract a single character from a string, using its index. |
| str_elems | Extract several single elements from a string. |
| str_extract_currencies | Extract currency amounts from a string. |
| str_extract_non_numerics | Extract non-numbers from a string. |
| str_extract_numbers | Extract numbers from a string. |
| str_first_currency | Extract currency amounts from a string. |
| str_first_non_numeric | Extract the 'n'th non-numeric substring from a string. |
| str_first_number | Extract the 'n'th number from a string. |
| str_first_number_after_first | Find the 'n'th number after the 'm'th occurrence of a pattern. |
| str_first_number_after_last | Find the 'n'th number after the 'm'th occurrence of a pattern. |
| str_first_number_after_mth | Find the 'n'th number after the 'm'th occurrence of a pattern. |
| str_first_number_before_first | Find the 'n'th number before the 'm'th occurrence of a pattern. |
| str_first_number_before_last | Find the 'n'th number before the 'm'th occurrence of a pattern. |
| str_first_number_before_mth | Find the 'n'th number before the 'm'th occurrence of a pattern. |
| str_give_ext | Ensure a file name has the intended extension. |
| str_last_currency | Extract currency amounts from a string. |
| str_last_non_numeric | Extract the 'n'th non-numeric substring from a string. |
| str_last_number | Extract the 'n'th number from a string. |
| str_last_number_after_first | Find the 'n'th number after the 'm'th occurrence of a pattern. |
| str_last_number_after_last | Find the 'n'th number after the 'm'th occurrence of a pattern. |
| str_last_number_after_mth | Find the 'n'th number after the 'm'th occurrence of a pattern. |
| str_last_number_before_first | Find the 'n'th number before the 'm'th occurrence of a pattern. |
| str_last_number_before_last | Find the 'n'th number before the 'm'th occurrence of a pattern. |
| str_last_number_before_mth | Find the 'n'th number before the 'm'th occurrence of a pattern. |
| str_locate_braces | Locate the braces in a string. |
| str_locate_first | Locate the indices of the 'n'th instance of a pattern. |
| str_locate_last | Locate the indices of the 'n'th instance of a pattern. |
| str_locate_nth | Locate the indices of the 'n'th instance of a pattern. |
| str_match_arg | Argument Matching. |
| str_nth_currency | Extract currency amounts from a string. |
| str_nth_non_numeric | Extract the 'n'th non-numeric substring from a string. |
| str_nth_number | Extract the 'n'th number from a string. |
| str_nth_number_after_first | Find the 'n'th number after the 'm'th occurrence of a pattern. |
| str_nth_number_after_last | Find the 'n'th number after the 'm'th occurrence of a pattern. |
| str_nth_number_after_mth | Find the 'n'th number after the 'm'th occurrence of a pattern. |
| str_nth_number_before_first | Find the 'n'th number before the 'm'th occurrence of a pattern. |
| str_nth_number_before_last | Find the 'n'th number before the 'm'th occurrence of a pattern. |
| str_nth_number_before_mth | Find the 'n'th number before the 'm'th occurrence of a pattern. |
| str_paste_elems | Extract single elements of a string and paste them together. |
| str_remove_quoted | Remove the quoted parts of a string. |
| str_singleize | Remove back-to-back duplicates of a pattern in a string. |
| str_split_by_numbers | Split a string by its numeric characters. |
| str_split_camel_case | Split a string based on CamelCase. |
| str_to_vec | Convert a string to a vector of characters |
| str_trim_anything | Trim something other than whitespace |


|
Phpcraft Realms Module
|
Public Member Functions | |
| __construct (Account $account, array $data) | |
| join (bool $await_start=true) | |
Static Public Member Functions | |
| static | getRealmsServers (Account $account) |
Public Attributes | |
| $account | |
| $id | |
| $name | |
| $description | |
| $owner_name | |
| $owner_uuid | |
| $state | |
| $days_left | |
| $expired | |
| $expired_trial | |
| $world_type | |
| $players | |
| $max_players | |
| $minigame_name | |
| $minigame_id | |
| $minigame_image | |
| Phpcraft\Realms\Server::__construct | ( | Account | $account, |
| array | $data | ||
| ) |
| Account | $account | |
| array | $data |
|
static |
Returns all servers the given account has joined or owns.
| Account | $account |
| Phpcraft\Realms\Server::join | ( | bool | $await_start = true | ) |
Returns information required to join the server.
| bool | $await_start |
| Account Phpcraft\Realms\Server::$account |
| int Phpcraft\Realms\Server::$days_left |
| string Phpcraft\Realms\Server::$description |
| bool Phpcraft\Realms\Server::$expired |
| bool Phpcraft\Realms\Server::$expired_trial |
| int Phpcraft\Realms\Server::$id |
| int Phpcraft\Realms\Server::$max_players |
| int null Phpcraft\Realms\Server::$minigame_id |
| string null Phpcraft\Realms\Server::$minigame_image |
The base64-encoded image for the minigame that is currently active or null if not applicable.
| string null Phpcraft\Realms\Server::$minigame_name |
The name of the minigame that is currently active or null if not applicable.
| string Phpcraft\Realms\Server::$name |
| string Phpcraft\Realms\Server::$owner_name |
| UUID Phpcraft\Realms\Server::$owner_uuid |
| array< string > Phpcraft\Realms\Server::$players |
| string Phpcraft\Realms\Server::$state |
The state of the realm. Can be ADMIN_LOCK, CLOSED, OPEN, or UNINITIALIZED.
| string Phpcraft\Realms\Server::$world_type |
The type of the world. Can be NORMAL, MINIGAME, ADVENTUREMAP, EXPERIENCE, or INSPIRATION.


|
| def | __init__ (self, plotly_name, **kwargs) |
| |
|
def | uid (self) |
| |
|
def | uid (self, val) |
| |
| def | on_hover (self, callback, append=False) |
| |
| def | on_unhover (self, callback, append=False) |
| |
| def | on_click (self, callback, append=False) |
| |
| def | on_selection (self, callback, append=False) |
| |
| def | on_deselect (self, callback, append=False) |
| |
| def | plotly_name (self) |
| |
| def | parent (self) |
| |
| def | figure (self) |
| |
| def | __reduce__ (self) |
| |
| def | __getitem__ (self, prop) |
| |
| def | __contains__ (self, prop) |
| |
| def | __setitem__ (self, prop, value) |
| |
| def | __setattr__ (self, prop, value) |
| |
| def | __iter__ (self) |
| |
| def | __eq__ (self, other) |
| |
| def | __repr__ (self) |
| |
| def | update (self, dict1=None, overwrite=False, **kwargs) |
| |
| def | pop (self, key, *args) |
| |
| def | on_change (self, callback, *args, **kwargs) |
| |
| def | to_plotly_json (self) |
| |
Base class for the all trace types.
Specific trace type classes (Scatter, Bar, etc.) are code generated as
subclasses of this class.
| def plotly.basedatatypes.BaseTraceType.on_click |
( |
|
self, |
|
|
|
callback, |
|
|
|
append = False |
|
) |
| |
Register function to be called when the user clicks on one or more
points in this trace.
Note: Callbacks will only be triggered when the trace belongs to a
instance of plotly.graph_objs.FigureWidget and it is displayed in an
ipywidget context. Callbacks will not be triggered on figures
that are displayed using plot/iplot.
Parameters
----------
callback
Callable function that accepts 3 arguments
- this trace
- plotly.callbacks.Points object
- plotly.callbacks.InputDeviceState object
append : bool
If False (the default), this callback replaces any previously
defined on_click callbacks for this trace. If True,
this callback is appended to the list of any previously defined
callbacks.
Returns
-------
None
Examples
--------
>>> import plotly.graph_objects as go
>>> from plotly.callbacks import Points, InputDeviceState
>>> points, state = Points(), InputDeviceState()
>>> def click_fn(trace, points, state):
... inds = points.point_inds
... # Do something
>>> trace = go.Scatter(x=[1, 2], y=[3, 0])
>>> trace.on_click(click_fn)
Note: The creation of the `points` and `state` objects is optional,
it's simply a convenience to help the text editor perform completion
on the arguments inside `click_fn`
| def plotly.basedatatypes.BaseTraceType.on_deselect |
( |
|
self, |
|
|
|
callback, |
|
|
|
append = False |
|
) |
| |
Register function to be called when the user deselects points
in this trace using doubleclick.
Note: Callbacks will only be triggered when the trace belongs to a
instance of plotly.graph_objs.FigureWidget and it is displayed in an
ipywidget context. Callbacks will not be triggered on figures
that are displayed using plot/iplot.
Parameters
----------
callback
Callable function that accepts 3 arguments
- this trace
- plotly.callbacks.Points object
append : bool
If False (the default), this callback replaces any previously
defined on_deselect callbacks for this trace. If True,
this callback is appended to the list of any previously defined
callbacks.
Returns
-------
None
Examples
--------
>>> import plotly.graph_objects as go
>>> from plotly.callbacks import Points
>>> points = Points()
>>> def deselect_fn(trace, points):
... inds = points.point_inds
... # Do something
>>> trace = go.Scatter(x=[1, 2], y=[3, 0])
>>> trace.on_deselect(deselect_fn)
Note: The creation of the `points` object is optional,
it's simply a convenience to help the text editor perform completion
on the `points` arguments inside `selection_fn`
| def plotly.basedatatypes.BaseTraceType.on_hover |
( |
|
self, |
|
|
|
callback, |
|
|
|
append = False |
|
) |
| |
Register function to be called when the user hovers over one or more
points in this trace
Note: Callbacks will only be triggered when the trace belongs to a
instance of plotly.graph_objs.FigureWidget and it is displayed in an
ipywidget context. Callbacks will not be triggered on figures
that are displayed using plot/iplot.
Parameters
----------
callback
Callable function that accepts 3 arguments
- this trace
- plotly.callbacks.Points object
- plotly.callbacks.InputDeviceState object
append : bool
If False (the default), this callback replaces any previously
defined on_hover callbacks for this trace. If True,
this callback is appended to the list of any previously defined
callbacks.
Returns
-------
None
Examples
--------
>>> import plotly.graph_objects as go
>>> from plotly.callbacks import Points, InputDeviceState
>>> points, state = Points(), InputDeviceState()
>>> def hover_fn(trace, points, state):
... inds = points.point_inds
... # Do something
>>> trace = go.Scatter(x=[1, 2], y=[3, 0])
>>> trace.on_hover(hover_fn)
Note: The creation of the `points` and `state` objects is optional,
it's simply a convenience to help the text editor perform completion
on the arguments inside `hover_fn`
| def plotly.basedatatypes.BaseTraceType.on_selection |
( |
|
self, |
|
|
|
callback, |
|
|
|
append = False |
|
) |
| |
Register function to be called when the user selects one or more
points in this trace.
Note: Callbacks will only be triggered when the trace belongs to a
instance of plotly.graph_objs.FigureWidget and it is displayed in an
ipywidget context. Callbacks will not be triggered on figures
that are displayed using plot/iplot.
Parameters
----------
callback
Callable function that accepts 4 arguments
- this trace
- plotly.callbacks.Points object
- plotly.callbacks.BoxSelector or plotly.callbacks.LassoSelector
append : bool
If False (the default), this callback replaces any previously
defined on_selection callbacks for this trace. If True,
this callback is appended to the list of any previously defined
callbacks.
Returns
-------
None
Examples
--------
>>> import plotly.graph_objects as go
>>> from plotly.callbacks import Points
>>> points = Points()
>>> def selection_fn(trace, points, selector):
... inds = points.point_inds
... # Do something
>>> trace = go.Scatter(x=[1, 2], y=[3, 0])
>>> trace.on_selection(selection_fn)
Note: The creation of the `points` object is optional,
it's simply a convenience to help the text editor perform completion
on the `points` arguments inside `selection_fn`
| def plotly.basedatatypes.BaseTraceType.on_unhover |
( |
|
self, |
|
|
|
callback, |
|
|
|
append = False |
|
) |
| |
Register function to be called when the user unhovers away from one
or more points in this trace.
Note: Callbacks will only be triggered when the trace belongs to a
instance of plotly.graph_objs.FigureWidget and it is displayed in an
ipywidget context. Callbacks will not be triggered on figures
that are displayed using plot/iplot.
Parameters
----------
callback
Callable function that accepts 3 arguments
- this trace
- plotly.callbacks.Points object
- plotly.callbacks.InputDeviceState object
append : bool
If False (the default), this callback replaces any previously
defined on_unhover callbacks for this trace. If True,
this callback is appended to the list of any previously defined
callbacks.
Returns
-------
None
Examples
--------
>>> import plotly.graph_objects as go
>>> from plotly.callbacks import Points, InputDeviceState
>>> points, state = Points(), InputDeviceState()
>>> def unhover_fn(trace, points, state):
... inds = points.point_inds
... # Do something
>>> trace = go.Scatter(x=[1, 2], y=[3, 0])
>>> trace.on_unhover(unhover_fn)
Note: The creation of the `points` and `state` objects is optional,
it's simply a convenience to help the text editor perform completion
on the arguments inside `unhover_fn`


--- layout: post status: publish published: true title: 2011 Ivy Envy MLB Final Standings Challenge author: display_name: Corey Fineran login: Corey email<EMAIL_ADDRESS>url: '' author_login: Corey author_email<EMAIL_ADDRESS>wordpress_id: 4595 wordpress_url: http://ivyenvy.com/?p=4595 date: '2011-03-28 17:12:45 +0000' date_gmt: '2011-03-28 22:12:45 +0000' categories: - General Baseball tags: - Ivy Envy MLB Final Standings Challenge - MLB Final Standings Challenge - 2011 MLB Final Standings Challenge comments: - id: 2991 author: Ryan author_email<EMAIL_ADDRESS>author_url: '' date: '2011-03-28 20:55:13 +0000' date_gmt: '2011-03-29 01:55:13 +0000' content: "Excited about this. My first year in the standings challenge. \r\n\r\nMeehan" - id: 3021 author: Jeff author_email<EMAIL_ADDRESS>author_url: '' date: '2011-03-31 17:41:16 +0000' date_gmt: '2011-03-31 22:41:16 +0000' content: "AL East-\r\n1. Boston\r\n2. NY\r\n3. Baltimore- Kill me now\r\n4.Tampa Bay\r\n5.Toronto\r\nAL Central-\r\n1. Minnesota\r\n2. Detroit\r\n3. Chicago\r\n4. Kansas City\r\n5. Cleveland\r\nAL West-\r\n1. LA Angels\r\n2. Texas\r\n3. Oakland\r\n4. Seattle\r\nNL East-\r\n1. Atlanta\r\n2. Philadelphia\r\n3. Florida\r\n4. Washington\r\n5. NY\r\nNL Central-\r\n1. Cincinnati\r\n2. Milwaukee\r\n3. Houston\r\n4. St. Louis\r\n5. Pittsburgh\r\n6. Chicago\r\nNL West-\r\n1. Colorado\r\n2. Los Angeles\r\n3. San Francisco\r\n4. Arizona\r\n5. San Diego" ---
Opening Day for Major League Baseball is this Thursday. This will be our third season of inviting our readers and listeners to join us in our MLB Final Standings Challenge. All you need to do is e-mail your prediction of what the standings will look like at the end of the season for every division. If you want, you can throw in the awards winners or playoff results.
On Friday morning, I will post everyone's predictions. We will have some sort of prize for the winner. It's six months away, we'll come up with something between now and then. So go ahead and e-mail your standings in to me - corey@ivyenvy.com.


species distribution invasive climate plant study change IAPS future range used RCP data alien elevation {border-style px;} #ffffff;} Nepal hysterophorus management using year Ecology camara expand predicted Kailash expansion present MaxEnt Parthenium model plants Biological Invasive Lantana Sacred current potential America Fig ecosystems region Landscape Sciences areas climatic control high invasions threat weed International Table conservation environmental modelling native presence species. upper Ageratum Development Ecological Environmental L., Mountain Predicting Shrestha South adenophora area habitat impacts landscape needle-leaved predicting px; spread subtropical variables {font-family Ageratina Asteraceae IAPS. India India. accuracy bioclimatic biological conditions distributions font-size forest invasion lower modeling models occurrence spatial values ./journal.pone. AUC Climate Data East However, Life Research Species Temperature biodiversity double; effective information karvinskianus major review time use value vegetation Bio Biology Distribution L.) Maximum Modeling Plant Science Senna Test Training Weed Writing access approach assessment border-color border-width data. different dispersal distributed ecological forest. global importance interval locations methods predict probability road scrub secondary solid; species, suitable viz., {font-style {font-weight (IAPS) ./journal.pone..t Baitadi Bidens Central Change China, Click Ecology: Erigeron Global KSL LINK Management. Maxent Mean Mexico Phillips Pithoragarh, Prediction Range SDMs Science. West Western adaptation additional altitudinal analysis applied area. bold case central change. changes considered courier; crucial developing distribution. downward ecosystem editing em; field file. focused future, hotspots however, identify increase level like local management. mapping maps mean natural need one. patterns performance pilosa pose provides pt;} represents respectively role sample scenarios strategies studies threats types


Marino Bicycle Clinic was established in 1978 with one mission: to bring a reliable, high quality Bicycle Repair, electric bikes, mopeds, shooters. My passion for excellence is what inspired me to open up my shop, and continues to drive me to this day. All my repairs are completed with meticulous detail, resulting in a product that is as good as new.
Do you have something that needs fixing? Marino Bicycle Clinic is here for all your repair needs. When possible, I use original parts for repairs, so anything you bring to me will be returned to you in mint condition. Feel free to call or text me with any questions you may have. I'm invested in customer service and always happy to help.