Event Location:
Microsoft Campus - Las Colinas
7000 State Hwy 161
Irving, Texas
Abstract:
Do you develop SSIS packages, SSRS reports or SSAS models (multidimensional or tabular)? Then this session is for you! We'll cover the capabilities this free tool provides as well as address some of the grating little quirks of BIDS/SSDT. Learn how to get a roles report or printer-friendly dimension usage from Analysis Services Multidimensional. Regain missing functionality in SSAS Tabular such as drillthrough actions, display folders, and HideMemberIf. Delete dataset cache files in SSRS to work around an annoying “feature”. Extend your SSIS capabilities: deploy packages from BIDS/SSDT, identify items with configuration/expressions, create packages based on templates, and find differences between packages. Learn about this perfect combination from Meagan Longoria and Bill Fellows and you'll never want to have your BIDS without the Helper again.
Speaker(s): Bill Fellows,
Abstract:
If your current data warehouse is overworked and underpaid, maybe it needs a friend to share the load. Do you want to be able to scan your 1TB fact table in 20 seconds? Do you want to maintain performance even if data volumes triple without rewriting any code? Do you want a data warehouse which extends to the cloud? This demo heavy session will be a deep dive into scaling out your data warehouse onto the Analytics Platform System appliance from Microsoft and querying it with familiar T-SQL. You will learn performance tuning best practices for taking advantage of a distributed data warehouse. See demos of hybrid connectivity to Azure Blob Storage through a technology called Polybase and learn how a modern data warehouse can handle structured data, semi-structured data, and streaming data.
Speaker(s): Greg Galloway,
Abstract:
Machine Learning no longer requires expensive infrastructures and knowledge of specialized statistical coding languages. Azure ML lowers the barriers of entry for predictive analytics using Machine Learning. In this session, review the similarities and differences of Machine Learning compared to traditional Predictive Analytics, Data Mining, Data Science, and Artificial Intelligence. I will demonstrate how a BI solution using only Excel with Power Pivot can connect to an Azure ML Model in the cloud for predictions and new types of analysis. Learn how Azure ML can be used to add value to Apps. Also, review ways to turn your Azure ML Model into a source of revenue using Azure Marketplace. Machine Learning is now quietly rising all around us as it integrates with technology, improves processes and workflows, and transforms how data drives business. Empower your organization with new competitive advantages using Azure ML.
Speaker(s): Greg Beaumont,
Abstract:
At some point in your SQL life you will be asked to calculate or visualize geospatial data. Microsoft SQL server has unique optimizations and frameworks for handling just this circumstance. Not to be confused with Geometric data (square and linear), Geographic data offers even more complexity as you deal with the curvature of the earth and its radial impact on queries. Jared Nielsen is the Principal of the FUZION Agency and the CTO of Online and Digital for Universal Weather and Aviation and contends with geographic data on a daily basis. FIR Boundary intersection, optimized flight planning, weather map overlay and multi-level airspace computations all involve some very interesting SQL Server geographic manipulations that may be interesting for you to experience if you haven't already. Please join me for an in-depth review with helpful resources to guide you on your way as you incorporate Geospatial data into your own applications.
Speaker(s): Jared Nielsen,
Abstract:
Do your organization's reports consist mostly of giant tables of data? Perhaps you have gotten as far as adding KPI indicators or conditional highlighting to the tables. Although tables of data presented as reports are commonly found in many organizations, they may be doing you and your users a disservice. You should optimize your data viz just as you optimize your databases. Reports are a user interface that must be purposefully designed to help users achieve their goal of making informed decisions. In this session, we'll review some data viz best practices and apply those concepts to the use of Microsoft reporting tools such as Excel, Power View, and Reporting Services. You'll leave with guidance on how to take boring, unreadable tables of data and turn them into useful and visually appealing reports.
Speaker(s): Meagan Longoria,
Abstract:
It's 2:30 a.m., and you've just gotten that call no ETL developer wants to get: an SSIS package has failed unexpectedly. Immediately, you start asking yourself: "What could have caused this?", "What do I do to fix the data from this failed execution?", and, most importantly, "Could I design the package in such a way that this doesn't happen again?" In this demo-packed session, we will examine the design patterns and logistics of building error-resistant SSIS packages. Starting with the control flow, we'll work through various tools and patterns that can be used to prevent, or at least handle appropriately, task-level errors. We'll then move to the data flow, and discuss and demonstrate how to proactively address problem data to prevent unexpected package failures.
Speaker(s): Tim Mitchell,
Abstract:
You can build a high-quality, high-velocity, and high-efficiency BI team using Microsoft development tools, including Visual Studio Online (or Team Foundation Server), SQL Server Data Tools, SQL Server Data Tools - Business Intelligence, and Power BI. This presentation is an overview of the toolset, as well as some recommended additional tools (mostly open source), and some of the high-level disciplines and practices that can turn a chaotic, bug-ridden mess into a finely-tuned, value-producing team. We'll talk about work item management, source code control, testing techniques, and automated builds and deployment mechanisms.
Speaker(s): Mike Diehl,
Abstract:
Power Map is a new Excel feature for exploring map and time-based data. Come see how Power Map for Excel 2013 can take your geo-spatial analysis to the next level. Bryan is a Business Intelligence Technology Specialist with Microsoft and Adjunct Professor at Southern Methodist University in Dallas, TX. Prior to his current role, Bryan served as a consultant and trainer with Hitachi Consulting, assisting a variety of customers in designing, implementing, and supporting Business Intelligence solutions. He is co-author of several books on Microsoft technologies including Microsoft SQL Server 2008 Analysis Services Step by Step, Microsoft SQL Server 2008 MDX Step by Step, and Professional SQL Server 2008 Reporting Services.
Speaker(s): MSBIC Admin,
Abstract:
Imagine the ultimate restaurant experience – great food and service, timely food delivery, entertainment and on-demand check payment. Ziosk delivers this idyllic experience through thoughtful technology and improved data and analytics capabilities. Tablet technology allows diners to relay orders directly to the kitchen, play interactive games, and pay at the table, and also substantially increases the likelihood of survey responses and loyalty enrollment. With real-time data collection, analytic and content management capabilities, wait staff, management and corporate can optimize the customer experience. Kevin Mowry (Ziosk), Al Pappa (Ziosk) and Jeff Johnston (Artis Consulting) share how Ziosk is changing the restaurant game with technologies such as the Analytic Platform System, HDInsight, Azure Machine Learning, Azure Data Factory and Power BI.
Speaker(s): MSBIC Admin,
Abstract:
This introductory session describes and demonstrates how to create a big data analytics solution with structured data by using Azure HDInsight and Excel 2013. This session will be of interest to those new to the concept of big data, new to self-service data modeling with Power Pivot, and for those interested to understand how big data can play a role in a self-service BI solution. Demonstrations will reinforce the introductory theory by showing how to store data files, and how to use Pig to transform data, and Hive to query data. The “big data” will then be retrieved and queried by using Power BI add-ins in Excel 2013, including Power Query, Power Pivot and Power View.
Speaker(s): Peter Myers,
Abstract:
Attend the lunch demo and see how you can use Master Data Services and Maestro to: • Create a golden record for any subject area in a matter of minutes Leverage your Microsoft licenses, skills and infrastructure to lower license costs and FTE costs, and reduce the complexity of an MDM environment? • Understand how to implement workflow and business process solutions around the management of MDM, without having to write complex custom coding for everything? • Tackle data quality, consistency and control by empowering business and subject matter experts, without needing heavy IT resources and writing complex code or scripting • Improve data quality, data stewardship, workflow, and data sharing with any of your enterprise
Speaker(s): MSBIC Admin,
Abstract:
People’s sentiments and opinions are written in social networks. There are tweets, Facebook posts, book reviews, forum discussions, and more. These attitudes and feelings are communicated using text, with format depending on the social network. Twitter messages are limited to 140 characters and use hash-tags,; Facebook messages can be longer. This session reviews the different Natural Language Processing, text mining, and data mining techniques you can use for sentiment and tone analysis. Organizations can use the extracted knowledge for brand reputation, market predictions, and automatic learning. We’ll look at, Hadoop, data mining, Microsoft Big Data Hadoop distribution HDInsight and Azure Machine Learning
Speaker(s): Paco Gonzalez,
Abstract:
It is relatively straight-forward to grant a user access to a particular SSRS report, multi-dimensional cube, or tabular model table, but what happens when the user needs access to the object but should be denied access to view certain rows of data? In this session we'll investigate a real-world solution to this common BI problem.
Speaker(s): Chris Hyde,
Abstract:
Looking for some low hanging performance issues you can solve today? What to learn what almost every SSAS environment should include? Join this session for 10 basic SSAS performance improvements you should include in your SSAS environment. Learn how to utilize these basic performance improvements to help improve your ETL, Cube processing, or reporting speeds.
Speaker(s): Randy Dyess,
Abstract:
This session will you chart the waters through the sea of Business Intelligence (BI) options. IT departments need tools to turn data into useful information for users. Instead of ROI, this session talks about Return on Data' for IT Managers. In this session we look at the roles of data warehousing, big data and business intelligence systems. The Microsoft BI stack has evolved from traditional OLAP cubes to include tabular models, PowerBI, integration with HADOOP, reporting tools and full integration with SharePoint. This session is non-technical.
Speaker(s): Allen Smith,
Abstract:
BIML makes SSIS development faster and creates reusable modules that help you apply a consistent ETL framework across solutions. In this session, we will write BIML and use it to build an SSIS package. You'll see how BIML allows you to avoid corrupted metadata and the tedious repetition of implementing simple SSIS patterns, freeing you up to take on new and interesting ETL challenges. Then we will review how to use it to create an extensible ETL framework.
Speaker(s): Meagan Longoria,
Abstract:
This session will take a look at Microsoft Power BI, specifically the latest Power BI Designer preview and the Power BI app. Utilizing the Power BI service, analysts and BI professionals can quickly create rich visual analytics and leverage data query functionality. The session will also take a look at how BI professionals can utilize the Microsoft Power BI Analysis Services connector.
Speaker(s): Rodrigo Gomez,
Abstract:
Information is everywhere, but accessing that data quickly and easily may seem like a daunting task. Power Query gives you access to all kinds of data sources quickly with minimal expertise all from within Microsoft Excel. This session will discuss and demonstrate Power Query uses such as analyzing Facebook Likes in an Excel chart, compiling research from publically available data, and accessing data from Microsoft Azure Marketplace.
Speaker(s): Chris Johnson,
Abstract:
This session provides an overview of Agile BI strategy and approach and demonstrates how Power BI can be used to jump start BI initiatives within an organization. Please join Gordon D’Souza and Greg Baldini for this discussion.
Speaker(s): MSBIC Admin,
Abstract:
When reviewing your ETL processes, the No. 1 question is always, "Does it work as expected?" Closely following that question is the ubiquitous, "How fast does it run?" This session’s tips are targeted at improve the latter. In this session, we’ll focus on SSIS package performance, quickly reviewing 15 common hotspots for performance issues as well as recommended methods for maximizing throughput. You’ll walk away with some key design patterns and recommendations that you can use today to improve SSIS package performance.
Speaker(s): Tim Mitchell,
Abstract:
If you are new to Dimensional modeling and Data Warehouse design, this session will get you started. Starting with business questions from typical users, you will identify dimensions, facts, hierarchies and attributes. We will also review the role different types of dimensions including conforming dimensions, Slow Changing Dimensions.
Speaker(s): Allen Smith,
Abstract:
Slow running packages? SSIS consuming all your resources? No idea what it's doing? After attending this session, you will come out with an understanding of how Configuration, Logging, Package settings and deployment work in SQL Server Integration Services. You will also be armed with a list of transformations and perfmon counters to watch out for.
Speaker(s): Bill Fellows,
Abstract:
For companies looking to achieve data scalability without large capital expenses, SQL Azure provides a flexible, economical alternative to hosting your data on-prem. In this session we will demonstrate how to create a SQL Azure database and how to manage scalability and geo-replication. We will also explore how SQL Server Management Studio allows you to interact with your data on-prem, as well as key differences between SQL Server and SQL Azure. There will also be a demonstration of creating a SQL Azure API using Azure Mobile Services.
Speaker(s): Brian Gogle,
Abstract:
Power BI has created many exciting new opportunities for business users to harness professional grade analytic tools. How do BI professionals help users get the most out of this exciting new product? This session will take a look at everyday patterns across various industries, and demonstrate tips and tricks to improve the end-user experience, and apply Power BI effectively in real-world scenarios.
Speaker(s): Derek McKee,
Abstract:
During this session we will review the powerful features used to build a Big Data analytical solution on SQL 2014. You will hear many optimization techniques used to load, process, and present over 9 Billion records of data. We will discuss practical tips and real-world examples around core SQL Server, Integration Services, and Analysis Services including Clustered Columnstore Indexes, Table Partitioning, Balance Data Distributor, and Analysis Services partitioning.
Speaker(s): Scott Rylie,
Abstract:
IDC estimates that the economic value gap between companies that are innovative about data analytics and those that maintain a status quo is $1.6 trillion worldwide over the next four years. This presentation will look at the ways that the data dividend can be realized, and provides an overview of Microsoft Power BI (the tools in Excel and the cloud-based services) so you can understand how it can be applied to your organization.
Speaker(s): Mike Diehl,
Abstract:
This session is suited for the computer hobbyist and will cover gathering metrics from an automobile On-Board Diagnostics (OBD) port with a small Raspberry Pi computer. Data elements such as VIN, rpm, and speed will be loaded from the Raspberry Pi to Windows Azure for analysis with Power BI.
Speaker(s): Chris Baudo,
Abstract:
In Memory OLTP is one of the most popular features of SQL Server 2014. Many BI professionals are finding memory optimized objects make excellent tools in the quiver of the ETL developer as well. Attend this session to see how "hekaton", memory optimized objects, native stored procedures, and schema only designs can be applied to staging and transformations to achieve incredible performance gains over traditional models.
Speaker(s): Russ Thomas,
Abstract:
Customer Engagement is alive, growing and changing faster than ever. It has completely reinvented itself in a handful of years and is creating challenging problems for companies, marketers and data professionals. Social media and digital advertising is not only making and breaking companies in record time, but is also changing the data landscape and roles of data professionals with the same speed. Join Rani Monson and John Ellis for a discussion about winning in the Age of the Customer and how you, as a data professional, can be at the center of this exciting new frontier.
Speaker(s): MSBIC Admin,
Abstract:
This session will focus on the time intelligence functions built in to DAX along with writing custom date logic to deal with a range of common reporting requirements. We will cover the use of the built in functions as well as how to recreate their logic with non-standard calendars. Some key topics include: - DAX time intelligence functions - Date tables - Filter expressions
Speaker(s): Greg Baldini,
Abstract:
Microsoft has provided some great tools for creating and editing SSIS packages. First Business Intelligence Development Studio (BIDS) then SQL Server Data Tools (SSDT). However, when creating an SSIS package you frequently repeat the same steps over and over. BIML is an XML markup language designed for representing the structure of an SSIS package. BIML Script takes that structure and generates an SSIS package.In this session we will use BIDS Helper to create a simple SSIS package using BIML. We will handle a couple SSIS scenarios with BIML and BIML Script.
Speaker(s): Russel Loski,
This is a list of speakers from the XML Guidebook records. The details and URLs were valid at the time of the event.
Contact: http://www.cognitiveinfo.com
Allen Smith is a business intelligence and data warehouse builder, speaker and trainer. Allen has an MBA in Computer Sciences and has worked in database services and data warehousing since 1998. Allen has a MCTS certification in Business Intelligence. Allen is a Sr. Business Intelligence Lead at Devon Energy. He enjoys sushi, traveling to obscure places, fixing Rubik’s cubes and prefers Marvel over DC.
Scott is a Business Intelligence consultant with 10+ years of experience in the information technology field. He has spent much of his professional career working with organizations to design, develop and implement technology solutions to meet their business requirements including Fortune 500 companies.
Contact: http://msbic.sqlpass.org
MSBIC is a community focused on promoting the discipline of Business Intelligence as a whole, for individuals that share a common goal of leveraging analytics to make better business decisions. Our mission is to foster a community that bridges the gap between technologists and business information consumers. We feel both groups should share an interest in leveraging their technology investments to optimize business performance.
Derek is a BI and Data Warehousing architect, with background in several industries and lines of business, and experience with a broad range of information challenges. A consultant with Slalom, in Dallas, TX, Derek is passionate about solving complex business problems through innovative solutions. Derek has worked closely with business users in various levels and departmental alignments, to analyze, design, build, test and deploy effective and powerful, business-driven solutions.
LinkedIn: http://linkedin.com/in/peterjsmyers
Peter Myers is a consultant, trainer and presenter, and has worked with Microsoft database and development products since 1997. Today he specializes in all Microsoft Business Intelligence products and also authors training course content for Microsoft products and services. He has a broad business background supported by a bachelor’s degree in applied economics and accounting, and he extends this with extensive experience backed by current MCSE certifications. He has been a Data Platform MVP since 2007.
LinkedIn: http://www.linkedin.com/in/furmangg/en
Contact: http://www.artisconsulting.com/blogs/GregGalloway
Greg Galloway is a BI architect with Artis Consulting in Dallas, Texas and a Microsoft Data Platform MVP. He is a coordinator on open-source projects including BI Developer Extensions (formerly BIDS Helper), the Analysis Services Stored Procedure project, and OLAP PivotTable Extensions. He was a co-author of the Analysis Services Tabular Performance Guide.
LinkedIn: http://www.linkedin.com/in/bgogle
Contact: http://briangogle.com
I have had a very diverse career that has always been very focused on insights and how they improve performance. I am currently the Data and Analytics Lead for the Central Region for Neudesic. Prior to consulting I was Vice President of Information Services with Mosaic, a retail services company. leading a forty person team in the U.S. and Canada and architecting a Microsoft BI solution that was accessed by over 1,000 clients from over 140 retailers and retail manufacturers. Before joining Neudesic I served as the Data Management Practice Area Lead for Slalom Consulting in Dallas.
LinkedIn: http://www.linkedin.com/in/meaganlongoria/
Contact: http://datasavvy.me
Meagan Longoria is a business intelligence consultant with Denny Cherry Associates, and lives in Denver, Colorado. She is a Microsoft Data Platform MVP. Meagan spends a lot of time thinking about how to use data integration, DAX, and data visualization techniques to make data useful for people. She enjoys sharing her knowledge and experiences at conferences and user group meetings, as well as through her blog (DataSavvy.me).
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/profile/view?id=333887181amp;trk=nav_responsive_tab_profile
Contact: http://sqlservertutor.com/
Over the past 20 years, Randy has helped architect, tune, and manage many very large databases (VLDBs) for optimum performance and availability. As a SQL Server relational data management specialist, Randy has worked in environments containing over 200 terabytes of SQL Server data to those that had more than 10,000 databases, with only a few megabytes of data in each. During this time, he has also worked with BI environments with very large data warehouses and billions of rows of data,
LinkedIn: http://www.linkedin.com/in/meaganlongoria/
Contact: http://datasavvy.me
Meagan Longoria is a business intelligence consultant with Denny Cherry Associates, and lives in Denver, Colorado. She is a Microsoft Data Platform MVP. Meagan spends a lot of time thinking about how to use data integration, DAX, and data visualization techniques to make data useful for people. She enjoys sharing her knowledge and experiences at conferences and user group meetings, as well as through her blog (DataSavvy.me).
LinkedIn: ?https://www.linkedin.com/in/chrisjjohnson
Chris Johnson has been developing, designing, and implementing technology solutions for over 14 years. Over the years, he has worked in consulting and industry areas including telecom, manufacturing, utilities, education, non-profit, oil amp; gas, and banking. He enjoys building and designing technical solutions to address business issues. From a technical standpoint, Chris has worked with database, reporting, and analytic tools including Oracle, Cognos, and Microsoft SQL Server. He has ext
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/in/billinkc
Contact: http://blog.billfellows.net
Bill Fellows is a SQL Server MVP and has been a database developer for most of his career, with the past 15 years focused on ETL. He is the organizer of Kansas City's eight SQLSaturdays and a speaker at many other SQLSaturdays, User Groups and the PASS Summit. Bill is the owner of Sterling Data Consulting where he gets to solve interesting data problems.
LinkedIn: http://www.linkedin.com/pub/russ-thomas/59/601/4b2/
Contact: http://www.sqljudo.com
Prior to focusing full time on IT Management and Database Administration in the Denver Colorado financial sector, Russ spent several years in law enforcement including four as a training Sergeant and Washington CJTC Instructor specializing in Emergency Vehicle Driving at Portland Intl Raceway. An experienced public speaker and trainer, Russ also has two decades of hands on IT work and leadership experience. Russ is a SQL Server Data Platform MCSE and is active in the SQLSaturday community.
Contact: http://www.cognitiveinfo.com
Allen Smith is a business intelligence and data warehouse builder, speaker and trainer. Allen has an MBA in Computer Sciences and has worked in database services and data warehousing since 1998. Allen has a MCTS certification in Business Intelligence. Allen is a Sr. Business Intelligence Lead at Devon Energy. He enjoys sushi, traveling to obscure places, fixing Rubik’s cubes and prefers Marvel over DC.
LinkedIn: https://www.linkedin.com/in/mikediehlsqlbi
Contact: http://weblogs.asp.net/miked
Mike Diehl is the practice lead for databases and Business Intelligence at Imaginet Resources, a Microsoft partner with offices in Dallas, Calgary, and Winnipeg. Mike has over 20 years of experience using Microsoft database technologies and is an expert in Agile Analytics, Scrum, Kanban, and Microsoft Team Foundation Server.
Contact: http://msbic.sqlpass.org
MSBIC is a community focused on promoting the discipline of Business Intelligence as a whole, for individuals that share a common goal of leveraging analytics to make better business decisions. Our mission is to foster a community that bridges the gap between technologists and business information consumers. We feel both groups should share an interest in leveraging their technology investments to optimize business performance.
LinkedIn: https://www.linkedin.com/in/timmitchell/
Contact: http://www.TimMitchell.net
Tim Mitchell is a business intelligence architect, author, and trainer. He has worked with SQL Server for over a decade, specializing in data warehousing, ETL/SSIS, and reporting. He holds a Bachelor’s Degree in Computer Science from Texas AM at Commerce, and is recognized as a Microsoft Data Platform MVP. Tim is a business intelligence consultant and principal at Tyleris Data Solutions. Tim is an active community speaker and volunteer, having spoken at over 100 events including the PASS Summit, SQLBits, Dev Connections, SQL Intersection, and scores of SQLSaturdays. He blogs at TimMitchell.net, and tweets at @Tim_Mitchell.
LinkedIn: https://www.linkedin.com/in/rgomez27
Contact: http://www.slalom.com
Rodrigo is a Consultant at Slalom Consulting under the Information Management and Analytics practice. He has over eight years of experience in Business Intelligence and Database Administration in various industries including Financial Services, Retail, Logistics, Manufacturing and Healthcare. Rodrigo enjoys challenges and learning new technologies.
LinkedIn: https://www.linkedin.com/in/gregbeaumont
As a Technology Solutions Professional at Microsoft I am constantly working to both inspire and create Digital Transformation using Analytics. Architecting solutions, training technologists, and never passing up an opportunity to design something new using Microsoft tools such as Power BI, Azure, SQL Server, Streaming Data and Azure Machine Learning.
Contact: http://msbic.sqlpass.org
MSBIC is a community focused on promoting the discipline of Business Intelligence as a whole, for individuals that share a common goal of leveraging analytics to make better business decisions. Our mission is to foster a community that bridges the gap between technologists and business information consumers. We feel both groups should share an interest in leveraging their technology investments to optimize business performance.
LinkedIn: https://www.linkedin.com/in/timmitchell/
Contact: http://www.TimMitchell.net
Tim Mitchell is a business intelligence architect, author, and trainer. He has worked with SQL Server for over a decade, specializing in data warehousing, ETL/SSIS, and reporting. He holds a Bachelor’s Degree in Computer Science from Texas AM at Commerce, and is recognized as a Microsoft Data Platform MVP. Tim is a business intelligence consultant and principal at Tyleris Data Solutions. Tim is an active community speaker and volunteer, having spoken at over 100 events including the PASS Summit, SQLBits, Dev Connections, SQL Intersection, and scores of SQLSaturdays. He blogs at TimMitchell.net, and tweets at @Tim_Mitchell.
Contact: http://www.nihilentinc.com
Greg Baldini is a Solutions Architect with Nihilent Technologies, Inc. He leads the data practice for the east coast and business analyst practice nationally. His primary experience lies in delivering effective and scalable analytical solutions for customers starting from the ideation phases and following through to rollout, training, and adoption. His goal is to always deliver on the promise of analytics, to make better decisions through data. An expert in data modeling engineering, systems architecture, and the Microsoft Data Platform, he has delivered solutions in many spaces including manufacturing, healthcare, fraud analysis, marketing pipelines, and sales performance.
LinkedIn: http://www.linkedin.com/in/billinkc
Contact: http://blog.billfellows.net
Bill Fellows is a SQL Server MVP and has been a database developer for most of his career, with the past 15 years focused on ETL. He is the organizer of Kansas City's eight SQLSaturdays and a speaker at many other SQLSaturdays, User Groups and the PASS Summit. Bill is the owner of Sterling Data Consulting where he gets to solve interesting data problems.
Chris Baudo is a business intelligence architect with 15 years of experience in consulting and industry. He specializes in business intelligence, data warehousing and data modeling, data analysis, ETL, OLAP, and business analysis. Chris’ project experiences include full project life cycle implementations and proof-of-concepts for several mid-market and Fortune 500 companies.
LinkedIn: http://www.linkedin.com/in/russloski
Contact: http://www.sqlmovers.com
Russ Loski is a SQL Server BI Developer based in Dallas-Fort Worth. He current works as a Data Analytics Engineer for Navisite, a remote managed IT services company. Twenty years ago, he began working with SQL Server 6.5. He has since continued to develop applications connected to all of the versions of SQL Server. He has worked with clients in industries from insurance to healthcare, from movie theaters to American football. Russ is a regular speaker at SQLSaturday events, as well as the SQL Server Users Groups in the North Texas region. Russ likes working with data in various shapes.
Contact: http://msbic.sqlpass.org
MSBIC is a community focused on promoting the discipline of Business Intelligence as a whole, for individuals that share a common goal of leveraging analytics to make better business decisions. Our mission is to foster a community that bridges the gap between technologists and business information consumers. We feel both groups should share an interest in leveraging their technology investments to optimize business performance.
LinkedIn: https://www.linkedin.com/company/the-fuzion-agency
Contact: http://www.FUZIONAgency.com
Rather than accepting the status quo, I believe in learning everything, and nothing, and mixing it all together until you have a strange, unique and ethereal blend of technology, marketing, knowledge, wisdom, creativity, passion, charity, caring, and humility. I think that being uncategorizable is the goal since life is the voyage, not the destination, so too should work be that extension of the undefinable so you
LinkedIn: https://www.linkedin.com/in/mikediehlsqlbi
Contact: http://weblogs.asp.net/miked
Mike Diehl is the practice lead for databases and Business Intelligence at Imaginet Resources, a Microsoft partner with offices in Dallas, Calgary, and Winnipeg. Mike has over 20 years of experience using Microsoft database technologies and is an expert in Agile Analytics, Scrum, Kanban, and Microsoft Team Foundation Server.
Contact: http://msbic.sqlpass.org
MSBIC is a community focused on promoting the discipline of Business Intelligence as a whole, for individuals that share a common goal of leveraging analytics to make better business decisions. Our mission is to foster a community that bridges the gap between technologists and business information consumers. We feel both groups should share an interest in leveraging their technology investments to optimize business performance.
The following is a list of sponsors that helped fund the event.


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I've always loved the imagery from The Little Prince, written by Antoine de Saint-Exupery, but I must confess that until I was assigned this doodle, I had never actually read the book. This was pretty much sacrilege on my part, as I come from working in kids books! My mother-in-law was quick to set me on the right path, lending me her translated copy (claiming it was the best, most poetic translation), and warned me to read the book with a pack of tissue. I followed her advice, finding a very quiet spot on the Google campus to read the book with a pair of sunglasses.
Cover to cover and an empty tissue pack later, I felt an even greater sense of responsibility to portray this beloved character as genuinely as possible. I painted the character in watercolor and ink, knowing there was no way the digital medium could capture the innocent, naive quality of Mr. Saint-Exupery's artwork. When the doodle finally launched, I was able to read user comments about how this doodle brought them joy, or how they recalled a passage from the book with a tear. It was such a wonderful feeling to emotionally connect with so many people at once and is probably one of the most rewarding experiences I've had as a doodler and illustrator.


Today’s List of Paid Apps and Games That Are Free at the Play Store Including LASERBREAK 2 and More
by Anil GantiThe titles are free for a limited time only and become paid at any moment. If you see a price next to the “install” button, it isn’t free anymore. Once you download a paid title that’s free or on sale, it’s yours to keep even after the promotion ends, and you can reinstall it on any other device linked with the same Google Play ID.
Spades
The goal of Spades is to reach 500 points with your team. Players sitting opposite each other play as a team. The game begins with a round of bidding. You try to predict the number of "tricks", or turns, you will win. The combined bids of two partners make a "contract". Once the bidding is completed, the partners must fulfill their contract, not the individual bids. You make a contract by winning at least a contracted number of tricks. A bid of Nil means the player will try not to win any tricks. The "trump" (or highest value) suit is always Spades. Each contracted trick is worth 10 points. If you fail to fulfill the contract, a penalty is the entire value of that contract. Each overtrick, or taking more than you bid, is worth 1 point and also earns you one "bag". Every set of 10 "bags" incurs a 100-point penalty. Winning a Nil bid is worth 100 points, failing a Nil bid is penalized by 100 points.
Mineral.io
It is a real-time battle game with 25 global users. You can become a winner of the Mineral War with your quick brain turn and improvisation.
Ruby Square: Logical puzzle game
Main features:
✔ Ruby square gameplay: the goal is to match a targeted pattern by rotating blocks of squares on a shuffled board.
✔ Hundreds of levels: the game has currently 8 different stages with various difficulties, each with 50 to 100 levels. In total, no less than 700 puzzles to solve.
✔ Various difficulties: choose between Easy, Medium, Hard or Extreme levels, depending on how good you are. Various block sizes (2x2, 3x3, 4x4) and board sizes (16 to 64).
✔ Compare scores: each level shows the world average moves to solve that. Can you master them?
✔ Color-blind friendly: Ruby Square uses a colorful palette that is colorblind thus friendly for those with impaired color vision.
 You'll have to use your brain power, forward thinking and creativity to solve the challenging, action packed puzzles.
Kitchen Timer Pro- Kitchen Reminder Timer
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It lets you set time reminder to all of your kitchen appliances on your smart kitchen.
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This tutorial website has been made in the Spring of 2016 as part of the coursework for CS6825 Computer Vision at CSU East Bay. This tutorial gives an introduction to the previous research done, and the algorithms used, to implement door finding, otherwise known as door detection.
Door-detection is important for localization in terms of navigation (human or robot) and can be used to help people with low vision or no vision. Consider a blind person that is indoors and would like to find the exit. The implementation of a possible solution is to
Since this is for a Computer Vision class, this web-based tutorial will be focused on the research done on the image processing aspect of this problem, but will touch briefly on the other areas as well.
[Img 1] Examples of environments in which door finding can be performed.


The Dialog standard library contains many pre-implemented actions, but only eighteen of them are capable of modifying the game world. These are the so called core actions. The other (non-core) standard actions either reveal information about the world (that you supply via predicates such as (descr $) and (from $ go $ to $)), print stock responses, or divert to one of the core actions.
The core actions are:
[take $Obj]
[drop $Obj]
[wear $Obj]
[remove $Obj]
[put $Obj $Relation $OtherObj]
[open $Obj]
[close $Obj]
[lock $Obj]
[unlock $Obj]
[switch on $Obj]
[switch off $Obj]
[eat $Obj]
[climb $Obj]
[enter $Obj]
[leave $Obj]
[leave $Room $Direction]
[leave $Room $Direction by $Vehicle]
[leave $Room $Direction with $PushedObj]
Common to all the core actions is that their default perform-rules call out to separate narration predicates to print messages to the player. This allows story authors to override only the narration. The narration predicates are queried before the game world is modified. This allows you to print for instance “you pick the apple” instead of “you take the apple” if the apple is still in its original location, e.g. part of the apple tree:
| (narrate taking #apple) | |
| You | |
| (if) (#apple is pristine) (then) pick (else) take (endif) | |
| the apple. |
Likewise, you might want to print a particular message when the player is pushing a cart around, without having to dive into the code for updating the position of the cart and player:
| (narrate leaving $ $Dir with #cart) | |
| The wheels squeak as you push the cart (name $Dir). |
As a rule of thumb, narration predicates are only queried from the eighteen core actions, as part of their default perform-rules. Most other standard actions essentially just print messages; their performance is an act of narration. To add flavour to those actions, you must intercept (perform $) directly.
An exception is the action [look $Dir], for looking in a direction. It calls out to (narrate failing to look $Dir) when there's no obvious exit in the given direction.
In order to present a robust and self-consistent world to the player, the story author will want to consider how each of the eighteen core actions might affect the game world. But these considerations only need to be made under certain conditions, as detailed in the following sections.
If your game has any (item $) or (wearable $) objects, or if the player initially carries or wears anything, consider how those objects are affected by the following core actions:
[take $Obj]
• Makes a query to (narrate taking $Obj).
• Updates the location of $Obj.
• Marks $Obj as handled.
[drop $Obj]
• Makes a query to (narrate dropping $Obj).
• Updates the location of $Obj.
• Marks $Obj as handled.
Items also have a subtle effect on many of the standard actions, such as eating, drinking, and showing things to people: These actions have before-rules for automatically attempting to pick up objects that are required for the action, but only if those objects are items.
If your game has any (wearable $) objects, or if the player initially wears anything, also consider the following core actions:
[wear $Obj]
• Makes a query to (narrate wearing $Obj).
• Updates the location of $Obj.
• Marks $Obj as handled.
[remove $Obj]
• Makes a query to (narrate removing $Obj).
• Updates the location of $Obj.
• Marks $Obj as handled.
If your game has any (openable $) objects, consider how they are affected by:
[open $Obj]
• Makes a query to (narrate opening $Obj).
• Updates the ($ is closed) flag of $Obj.
[close $Obj]
• Makes a query to (narrate closing $Obj).
• Updates the ($ is closed) flag of $Obj.
If your game has any (lockable $) objects, consider how they are affected by:
[lock $Obj with $Key]
• Makes a query to (narrate locking $Obj with $Key).
• Updates the ($ is locked) flag of $Obj.
[unlock $Obj with $Key]
• Makes a query to (narrate unlocking $Obj with $Key).
• Updates the ($ is locked) flag of $Obj.
If your game has any (switchable $) objects, consider how those are affected by:
[switch on $Obj]
• Makes a query to (narrate switching on $Obj).
• Updates the ($ is off) flag of $Obj.
[switch off $Obj]
• Makes a query to (narrate switching off $Obj).
• Updates the ($ is off) flag of $Obj.
If your game has any (edible $) objects, consider:
[eat $Obj]
• Makes a query to (narrate eating $Obj).
• Updates the location of $Obj (to nowhere).
If your game has any map connections at all, consider:
[leave $Room $Dir]
• Makes a query to (prevent entering $).
• Possibly queries (narrate failing to leave $Room $Dir) and stops.
• Makes a query to (narrate leaving $Room $Dir).
• Updates the location of the player.
• Marks the new room as visited.
• Makes a query to (narrate entering $), which usually diverts to [look].
If your game has any (vehicle $) objects, consider:
[leave $Room $Dir by $Vehicle]
• Makes a query to (prevent entering $).
• Possibly queries (narrate failing to leave $Room $Dir) and stops.
• Makes a query to (narrate leaving $Room $Dir by $Vehicle).
• Updates the location of the vehicle object.
• Marks the new room as visited.
• Makes a query to (narrate entering $), which usually diverts to [look].
If your game has any (pushable $) objects, consider:
[leave $Room $Dir with $Obj]
• Makes a query to (prevent entering $).
• Possibly queries (narrate failing to leave $Room $Dir) and stops.
• Makes a query to (narrate leaving $Room $Dir with $Obj).
• Updates the location of $Obj.
• Marks $Obj as handled.
• Updates the location of the player.
• Marks the new room as visited.
• Makes a query to (narrate entering $), which usually diverts to [look].
If your game has any (container $) or (supporter $) objects, consider how they are affected by the following core action:
[put $Obj $Rel $OtherObj]
• Makes a query to (narrate putting $Obj $Rel $OtherObj).
• Updates the location of $Obj.
• Marks $Obj as handled.
If your game has any (actor supporter $) objects, consider:
[climb $Obj]
• Makes a query to (narrate climbing $Obj).
• Updates the location of the player.
If your game has any (actor container $) objects, (door $) objects, or map connections, consider:
[enter $Obj]
• Makes a query to (prevent entering $Obj).
• Makes a query to (narrate entering $Obj).
• Updates the location of the player.
If your game has any (actor supporter $) objects or (actor container $) objects, or if the player is initially on top of an object, or inside a non-room object, consider:
[leave $Obj]
• Makes a query to (narrate leaving $Obj).
• Updates the location of the player.
The following standard actions do not modify the game world, except to reveal hidden objects. Thus, if (#key is hidden) and (#key is #under #rug), then LOOK UNDER RUG will clear the hidden-flag, so that a subsequent GET KEY is allowed to ask: “Did you mean the key under the rug, or the key on top of the table?”
The act of revealing hidden objects isn't listed explicitly in the following table, because it is carried out automatically by the predicates for printing object names, e.g. (a $) and (the $).
[examine $Obj]
• Makes a query to (descr $Obj).
• Makes queries to (appearance $ $ $Obj).
[look]
• Makes a query to (look $).
• Makes queries to (appearance $ $ $).
[exits]
• Displays information from (from $ go $ to $).
[look $Dir]
• Displays information from (from $ go $ to $).
• If there's no exit in that direction, makes a query to (narrate failing to look $Dir).
[look $Rel $Obj]
• Lists children of $Obj having relation $Rel.
[search $Obj]
• Lists children of $Obj (with relations #in, #on, #under, and #behind).
[feel $Obj]
• Makes a query to (feel $Obj).
[inventory]
• Lists any objects held or worn by the current player.
The following actions are part of the standard library, but all they do is print stock messages. Those can be error responses or bland statements about how the action had no effect.
[read $Obj]
[listen to $Obj]
[taste $Obj]
[smell $Obj]
[smell]
[kiss $Obj]
[attack $Obj]
[squeeze $Obj]
[fix $Obj]
[clean $Obj]
[cut $Obj with $OtherObj]
[pull $Obj]
[turn $Obj]
[flush $Obj]
[swim in $Obj]
[tie $Obj to $OtherObj]
[talk to $Obj]
[consult $Obj about $Topic]
[greet]
[wait]
[jump]
[dance]
[wave]
[shrug]
[exist]
[sing]
[fly]
[think]
[sleep]
[pray]
[curse]
[wake up]
The following actions require something to be held, so they first attempt to [take $] that object (if it is an item). Then they print a stock message.
[throw $Obj at $OtherObj]
[give $Obj to $OtherObj]
[show $Obj to $OtherObj]
[attack $Obj with $Weapon]
[wave $Obj]
[drink $Obj]
A number of actions simply divert to other actions, possibly after asking the player for clarification. For instance, [give #money] prints “To whom?”, and sets up an implicit action, [give #money to $], with a blank for the missing noun. When the player responds e.g. CLERK, that is understood as the complete action, [give #money to #clerk]. This mechanism will be described in more detail in the chapter on understanding player input.
In some situations, it will be clear from context who is the intended recipient of a [give $] action. Story authors can add rules like the following:
| (instead of [give $Obj]) | |
| (current room #store) | |
| (try [give $Obj to #clerk]) |
Most diverting actions are similar to the above example. They ask for a second noun, and set up an implicit action that will receive it:
[give $Obj]
• Diverts to [give $ to $Obj], after asking for clarification.
[show $Obj]
• Diverts to [show $Obj to $], after asking for clarification.
[tie $Obj]
• Diverts to [tie $Obj to $], after asking for clarification.
[cut $Obj]
• Diverts to [cut $Obj with $], after asking for clarification.
[flush]
• Diverts to [flush $], after asking for clarification.
[swim]
• Diverts to [swim in $], after asking for clarification.
[throw $Obj]
• Diverts to [throw $Obj at $], after asking for clarification.
[throw $Obj $Dir]
• Diverts to [throw $Obj at $] or [throw $Obj], after consulting the (from $ go $ to $) predicate.
[bite $Obj]
• Diverts to [attack $Obj] if $Obj is animate.
• Otherwise diverts to [eat $Obj].
[lock $Obj]
• Asks for clarification, unless the correct key is already held.
• Diverts to [lock $ with $].
[unlock $Obj]
• Asks for clarification, unless the correct key is already held.
• Diverts to [unlock $ with $].
The opposite is true for [take $ from $], where the default implementation diverts to the core action [take $] (or [remove $], for worn objects) by removing the extra noun:
[take $Obj from $OtherObj]
• Diverts to [take $Obj] or [remove $Obj] if $Obj is a child of $OtherObj.
• Otherwise, prints a stock message.
LISTEN (without a noun) diverts to an action for listening to the current room, although story authors may wish to override it if a noisy object is nearby:
[listen]
• Diverts to [listen to $CurrentRoom].
A number of standard actions are related to communication. They divert according to a tree-like structure, eventually rooted in [talk to $] by default. But story authors may jack into this structure at any point.
[talk]
• Diverts to [talk to $], after asking for clarification.
[shout to $Obj]
• Diverts to [talk to $].
[shout]
• Diverts to [shout to $], after asking for clarification.
[call $Obj]
• Diverts to [shout to $].
[call]
• Diverts to [shout].
[ask $Obj about $Topic]
• Diverts to [talk to $].
[tell $Obj about $Topic]
• Diverts to [talk to $].
[ask $Obj]
• Diverts to [talk to $].
[tell $Obj]
• Diverts to [talk to $].
[greet $Obj]
• Diverts to [talk to $].
The input JEEVES, CLEAN MY SHOES is represented by the action [tell #jeeves to clean #shoes]. More generally:
[tell $Obj to | $Action]
• May divert to [greet $Obj] (if the inner action was [greet]).
• Otherwise, prints a stock message.
The ask and tell actions have a topic parameter. Topics can be objects, and indeed, objects in scope will be understood as topics by the default rules in the standard library. But a topic can be any Dialog value, and dictionary words can be used to represent abstract topics that do not correspond to tangible objects in the game world. A couple of rules such as these:
| (topic keyword @childhood) | |
| (topic keyword @youth implies @childhood) | |
| (describe topic @childhood) | |
| your childhood |
will make the parser understand TELL DOCTOR ABOUT THE SHATTERED DREAMS OF CHILDHOOD as [tell #doctor about childhood] (recall that the @ character can be omitted inside list expressions). But if you also define:
| (topic keyword @dreams) | |
| (describe topic @dreams) | |
| your dreams |
then THE SHATTERED DREAMS OF CHILDHOOD contains two valid keywords, and the game will ask, did you mean to tell the doctor about your childhood or your dreams?
Looking for keywords is a rather crude approach to topic parsing. In the upcoming chapter on understanding player input, we will see how to add arbitrarily complex parser rules for topics.
A number of standard actions are related to movement of the player character. These also form a tree of diversions, allowing actions to be intercepted at any level. However, when adjusting the behaviour of these actions, it is generally best to override one of the core actions, e.g. [leave $ $], [leave $ $ by $], or [leave $ $ with $].
[leave]
• Diverts to [leave $] or [go #out].
[stand]
• May divert to [leave $].
• Otherwise, prints a stock message.
[sit]
• Diverts to [climb $], after asking for clarification.
[push $Obj]
• Diverts to [push $Obj $], after asking for clarification.
[go $Dir]
• May divert to [leave $].
• Diverts to [leave $ $] or [leave $ $ by $].
[push $Obj $Dir]
• Diverts to [leave $ $ with $].
[go to $Room]
• Diverts to [go $] (multiple).
[find $Obj]
• Diverts to [go to $].
The verb USE is rarely used in interactive fiction, but it makes sense to treat it as a valid action for set phrases, such as USE TOILET, or LUKE, USE THE FORCE. The standard library accepts USE DOOR for entering doors. Furthermore, when the player has typed an incomplete command, such as CUT ROPE, the game might ask "With what?". In response to such a question, the player should be allowed to answer e.g. USE THE HERRING.
[use $Obj]
• May divert to any action, if the game recently asked for clarification.
• May divert to [enter $] (for doors).
• Otherwise, prints a stock message.
The following actions are so called commands. Their effects aren't part of the story, and no time passes in the game world when they are issued. Please refer to the library source code for details about what these actions do.
[notify off]
[notify on]
[pronouns]
[quit]
[restart]
[restore]
[save]
[score]
[transcript off]
[transcript on]
[verbose]
[version]
AGAIN and UNDO are treated as special cases by the parser. They are not actions.
In addition to the standard library, the official Dialog distribution archive includes a debugging extension, which can be added to the compiler commandline before the standard library (but after the story). This extension adds a number of useful actions that generally should not be part of a released game. The in-game syntax should be evident from the action names:
[actions on]
Queries (actions on) to enable action logging. Whenever an action is about to be tried, its internal representation (data structure) and external representation (description) are printed.
[actions off]
Queries (actions off) to disable action logging.
[scope]
Queries (scope) to display the current scope.
[allrooms]
Prints a list of every room in the game, including unvisited ones.
[teleport $Room]
Moves the current player character into the named room.
[purloin $Object]
Moves the named object into the current player character's inventory.
[meminfo]
Prints a line of backend-specific memory statistics.


Notes on Hybrid Long-Range Collision Avoidance for Crowds
June 20, 2020
Based on:
Hybrid Long-Range Collision Avoidance for Crowd Simulation Golas2013. Using long range “vision” for collision avoidance in crowds. Hybrid technique for crowd sim blends continuous and discrete algorithms.
Intro
Collision avoidance algorithms have 2 categories: discrete and continuum. Continuum is for high density crowds. Discrete is for any density, but costs escalate at higher densities. This paper does the following:
- New approach for long range collision avoidance that can be used with discrete and continuum methods.
- Metric to serve as a basis for comparing crowd motion
- Hybrid algorithm for continuum and discrete collision avoidance.
Crowd sims usually have 2 steps: Global and Local.
- Global step plans the path for each agent and looks at static obstables.
- Local step involves Local Collision Avoidance (LCA) with other agens.
Continuum Lookahead
Agent orange has preffered velocity $v_p$ calculated from the gobal step. That is updated through the optimization problem in Eq 2 of the paper to $\hat{v}$.
Look ahead is determined by the future state of the crowd $x_i$ where $i$ is the amount of time to look ahead. Uncertainty is accounted for by making the underlying grid larger and larger for each $i$ until $i_{max}$.
- Lookahead is computed as a tree
- Preferred velocity is updated
- One gradient descent solve per agent per level, can be parrallelized
- Avoids calculating global pressure to exert forces
Discrete Lookahead
Reciprocal velocity obstable (RVO) for collision avoidance. Colliding velocities of agent and neighbors become a constraint in the optimization. One optimization per agent, but lots of constraints. The solution is to group distant agents into clusters.
Curtailing Lookahead
Ignore lookaheads if there is an obstacle in the way.
Inconsistency metric
Hybrid crowds
Continuum + Discrete hybrid.
Continuum methods suffer in low density crowds. Agents can routinely collide and need to be pushed apart. Continuum grids have aliasing issues resulting in damped velocities.
Discrete methods suffer numerical issues at high densities.


The Thin Red Line
Rating: 80 % Starring: Elias Kotias Nick Nolte Sean Penn Director: Terrence Malick
With Saving Private Ryan being my candidate as the best movie so far for 1998, it was with some eagerness I was looking forward to seeing the other Second World War Two epic nominated in the Best Picture Oscar category. Having now seen both movies it is clear to me who the winner is going to be now that the canon smoke has cleared. Is it Steven Speilberg's Normandy landing based movie or Terrence Malick's jungle based movie.
And the winner is … Saving Private Ryan. And for many reasons which I will touch on as I continue my review. This is not to say The Thin Red Line is a bad movie. Far from it. The Thin Red Line is one of the best stream of consciousness movies I have ever seen. The lovely jungle scenery, the voice over narration contemplating what death might be like and the stresses of combat clearly etched in the faces of the combatants, gives this movie an otherworldly dreamlike experience unlike any other. I also read the James Jones based novel on which the movie is based only a scant few months ago. So for me the characters from this unforgettable novel is still very fresh in my mind. Whether this is an aide to enjoying the movie or not is hard to say. At least I had perhaps a clearer understanding about the soldiers' journey of discovery they were going through. Obviously as with so many book-to-movies the whole books plot was almost thrown away, and only the bare basics survived. The main character in the movie had only a bit part in the book. In the book Cpl. Fife who we hardly see in the movie was more or less the books main voice. Also overlooked was Pvt. Jack Bell rapid rise from ex-lieutenant to private back up to lieutenant. Also strange was the exclusion of the final village battle after the walk along the river as Charlie Company becomes unstoppable in the forward advances. And we only get the mere mention of the word "property" which is the whole lifes philosophy of company First Sgt. Edward Welsh. For me the first two thirds of The Thin Red Line was the best. The hour long build up to the battle for the hill and then the battle itself. There is a superb building up period to the eventual test of fire these ordinary men have to go through after which their lives will never be the same again.
The battle scenes themselves don't match the sheer raw power of Saving Private Ryan nor is it as gruesomely bloody and realistic. I think the main reason for this could have been because Terrence Mallick lacks Steven Speilbergs mastery of special effects. And obviously it has been twenty years since his last moive. With all of today's digital technology at his disposal, Speilberg was able to make us truly believe we are in the midst of a war for ourselves. Saving Private Ryan also had more identifiable characters and a better plot, rudimentary as it was. The Thin Red line on the other hand has more name actors, who unfortunately are more an distraction than a help. John Travolta and George Clooneys two second speech at the end of the movie serves no real purpose. Nick Nolte is superb though, as the obsessed colonel who knows he is taking part in the last ever war he will have a chance to participate in. For him it is all about objectives taken and how many lives can be spent to accomplish this. It is all a numbers game to him, like for any good accountant as long as his gains outweighs his losses he is doing good business.
Pvt. Witt the movies main character is well played by James Caviezel. One has real empathy for his character. Here is someone who has gone AWOL a number of times but now that he is in the thick of things is willing to volunteer himself for the most suicidal of missions.
War of all about contradictions. We profess to be peace seeking individuals but when we are offered an excuse we will kill, maim and destroy to the fullest of our ability to place ourselves ahead of the enemy. With such inherent duality evident in all men, it is no wonder that wars are still being fought every day around the globe and fanatics will find any excuse to inflict their harmful will upon others for some misguided cause or the other. In the end it is about he who holds the biggest stick who will win. Look at the United States the worlds only remaining superpower. The US is supposed to be this huge peace loving nation but doesn't hesitate to impose it will on others via smart bombs and Tomahawk missiles. I guess when you are the number one power in the world you have to flex your muscles from time to time as to discourage other from picking fights with you unnecessarily.
Anyway, excuse main lapse of concentration. Go see The Thin Red Line if you like challenging movie experiences.
Neil Smith Review courtesy of www.megavideo.co.za as well as www.dvdsa.co.za
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


Class: Aws::IoTWireless::Types::TdscdmaObj
| Relationships & Source Files | |
| Super Chains via Extension / Inclusion / Inheritance | |
|
Class Chain:
self,
Struct
|
|
|
Instance Chain:
self,
::Aws::Structure ,
Struct
|
|
| Inherits: |
Struct
|
| Defined in: | gems/aws-sdk-iotwireless/lib/aws-sdk-iotwireless/types.rb |
Overview
TD-SCDMA object.
Constant Summary
Instance Attribute Summary
-
#lac ⇒ Integer
rw
Location Area Code.
-
#mcc ⇒ Integer
rw
::Aws::Mobile
Country Code. -
#mnc ⇒ Integer
rw
::Aws::Mobile
Network Code. -
#path_loss ⇒ Integer
rw
Path loss, or path attenuation, is the reduction in power density of an electromagnetic wave as it propagates through space.
-
#rscp ⇒ Integer
rw
Signal power of the received signal (Received Signal Code Power), measured in decibel-milliwatts (dBm).
-
#tdscdma_local_id ⇒ Types::TdscdmaLocalId
rw
TD-SCDMA local identification (local ID) information.
-
#tdscdma_nmr ⇒ Array<Types::TdscdmaNmrObj>
rw
TD-SCDMA object for network measurement reports.
-
#tdscdma_timing_advance ⇒ Integer
rw
TD-SCDMA Timing advance.
-
#utran_cid ⇒ Integer
rw
UTRAN (UMTS Terrestrial Radio Access Network) Cell Global Identifier.
Instance Method Summary
::Aws::Structure
- Included
| #to_hash | Alias for Structure#to_h. |
Instance Attribute Details
#lac ⇒ Integer
(rw)
Location Area Code.
# File 'gems/aws-sdk-iotwireless/lib/aws-sdk-iotwireless/types.rb', line 5749
class TdscdmaObj < Struct.new( :mcc, :mnc, :lac, :utran_cid, :tdscdma_local_id, :tdscdma_timing_advance, :rscp, :path_loss, :tdscdma_nmr) SENSITIVE = [] include Aws::Structure end
#mcc ⇒ Integer
(rw)
::Aws::Mobile
Country Code.
# File 'gems/aws-sdk-iotwireless/lib/aws-sdk-iotwireless/types.rb', line 5749
class TdscdmaObj < Struct.new( :mcc, :mnc, :lac, :utran_cid, :tdscdma_local_id, :tdscdma_timing_advance, :rscp, :path_loss, :tdscdma_nmr) SENSITIVE = [] include Aws::Structure end
#mnc ⇒ Integer
(rw)
::Aws::Mobile
Network Code.
# File 'gems/aws-sdk-iotwireless/lib/aws-sdk-iotwireless/types.rb', line 5749
class TdscdmaObj < Struct.new( :mcc, :mnc, :lac, :utran_cid, :tdscdma_local_id, :tdscdma_timing_advance, :rscp, :path_loss, :tdscdma_nmr) SENSITIVE = [] include Aws::Structure end
#path_loss ⇒ Integer
(rw)
Path loss, or path attenuation, is the reduction in power density of an electromagnetic wave as it propagates through space.
# File 'gems/aws-sdk-iotwireless/lib/aws-sdk-iotwireless/types.rb', line 5749
class TdscdmaObj < Struct.new( :mcc, :mnc, :lac, :utran_cid, :tdscdma_local_id, :tdscdma_timing_advance, :rscp, :path_loss, :tdscdma_nmr) SENSITIVE = [] include Aws::Structure end
#rscp ⇒ Integer
(rw)
Signal power of the received signal (Received Signal Code Power), measured in decibel-milliwatts (dBm).
# File 'gems/aws-sdk-iotwireless/lib/aws-sdk-iotwireless/types.rb', line 5749
class TdscdmaObj < Struct.new( :mcc, :mnc, :lac, :utran_cid, :tdscdma_local_id, :tdscdma_timing_advance, :rscp, :path_loss, :tdscdma_nmr) SENSITIVE = [] include Aws::Structure end
#tdscdma_local_id ⇒ Types::TdscdmaLocalId (rw)
TD-SCDMA local identification (local ID) information.
# File 'gems/aws-sdk-iotwireless/lib/aws-sdk-iotwireless/types.rb', line 5749
class TdscdmaObj < Struct.new( :mcc, :mnc, :lac, :utran_cid, :tdscdma_local_id, :tdscdma_timing_advance, :rscp, :path_loss, :tdscdma_nmr) SENSITIVE = [] include Aws::Structure end
#tdscdma_nmr ⇒ Array
<Types::TdscdmaNmrObj> (rw)
TD-SCDMA object for network measurement reports.
# File 'gems/aws-sdk-iotwireless/lib/aws-sdk-iotwireless/types.rb', line 5749
class TdscdmaObj < Struct.new( :mcc, :mnc, :lac, :utran_cid, :tdscdma_local_id, :tdscdma_timing_advance, :rscp, :path_loss, :tdscdma_nmr) SENSITIVE = [] include Aws::Structure end
#tdscdma_timing_advance ⇒ Integer
(rw)
TD-SCDMA Timing advance.
# File 'gems/aws-sdk-iotwireless/lib/aws-sdk-iotwireless/types.rb', line 5749
class TdscdmaObj < Struct.new( :mcc, :mnc, :lac, :utran_cid, :tdscdma_local_id, :tdscdma_timing_advance, :rscp, :path_loss, :tdscdma_nmr) SENSITIVE = [] include Aws::Structure end
#utran_cid ⇒ Integer
(rw)
UTRAN (UMTS Terrestrial Radio Access Network) Cell Global Identifier.
# File 'gems/aws-sdk-iotwireless/lib/aws-sdk-iotwireless/types.rb', line 5749
class TdscdmaObj < Struct.new( :mcc, :mnc, :lac, :utran_cid, :tdscdma_local_id, :tdscdma_timing_advance, :rscp, :path_loss, :tdscdma_nmr) SENSITIVE = [] include Aws::Structure end


Class: c3.Selection
| Defined in: | js/c3.coffee |
Overview
The c3 selection object is used internally as an abstraction around D3 selections to provide common functionality and patterns. It is not meant to provide a general solution or replace D3. The motivation behind it is to normalize design patterns and performance optimizations useful for c3 visualizations on top of what D3 offers. In particular, it is useful to allow c3 users to define options which c3 visualizations can then use to do the actual DOM updates.
Please refer to c3.Selection.Options for user-configurable options.
c3 visualizations create c3.Selection objects to in turn create and represent various DOM nodes.
c3.Selection.Options objects are used to persist user options that are used in subsequent
updates or styling of nodes. For example, there is a circle_options
{c3.Selection.options} used to
describe how to setup and style circles in a scatter plot. You can still modify the different selection option
properties, which will then be used as appropriate when redraw() or restyle() is called.
Variables
all
- [d3.selection] D3 selection of all nodesnew
- [d3.selection] D3 selection of newly created nodesold
- [d3.selection] D3 selection of nodes removed due to data binding
Variables Summary
- opt =
-
{}
[c3.Selection.Options] User configurable options for ongoing
update()
andstyle()
manipulation of nodes. - opt_array =
-
undefined
[Array<c3.Selection.Options>] Array of user options for each node in the selection based on the index.
Instance Method Summary
- # (void) select(query, before, children_only) Create a new c3 selection based on the current selection
- # (void) inherit(query, create = true, prepend = false) Bound Create a child node for each node in the parent's selection with a 1:1 mapping to the same data.
- # (void) singleton(datum) Bound Create a single DOM node based on the passed in data.
- # (void) bind(data, key) Bound Update the DOM nodes based on the provided data using D3.
- # (void) remove() Bound Remove this selection
- # (void) options(opt = {}, opt_accessor) Set persistent user-configurable options.
-
#
(void)
animate(animate = true)
Allow animations for this selection during binding or positioning if the user requested them with
animate
in the c3.Selection.Options. - # (void) update() Bound This will setup event handlers for new nodes and update classes, tooltips, text, and html for all nodes based on the current data and options.
- # (void) position(attrs) Bound Update the attribute values for the dom nodes of this selection based on the values and callbacks set in attrs.
-
#
(void)
position_tweens(attrs)
Bound
Update the attribute values for the dom nodes of this selection based on tween functions in
attrs
- # (void) style(style_new) Bound A method to style and setup CSS classes for the nodes in the selection based on the current {c3.Selection.options options}.
- # (HTMLElement) node() Bound Return a single HTML Element for this selection.
Constructor Details
#
(void)
constructor(d3_selection = d3.select(), query, before, children_only)
Create a new selection
Instance Method Details
#
(void)
select(query, before, children_only)
Create a new c3 selection based on the current selection
#
(void)
inherit(query, create = true, prepend = false)
Bound
Create a child node for each node in the parent's selection with a 1:1 mapping to the same data.
For example, if the parent selection had a set of svg:g nodes, then inheriting from that
with a circle
query would create an svg:circle node nested in each svg:g node.
#
(void)
singleton(datum)
Bound
Create a single DOM node based on the passed in data. Ensure that only one node will be created and will remove extra nodes that match the query if they previously existed.
#
(void)
bind(data, key)
Bound
Update the DOM nodes based on the provided data using D3.
Create new nodes and remove them as necessary so there is a node for each element in
the data array and they are bound together.
The key
function is optional and is used to uniquely identify data elements.
So, even if the data is reordered in subsequent calls to update, they will still be
bound to the same DOM nodes.
Animate opacity for entering or exiting nodes if animate
is set in the options
unless the opacity style is defined.
#
(void)
remove()
Bound
Remove this selection
#
(void)
options(opt = {}, opt_accessor)
#
(void)
animate(animate = true)
Allow animations for this selection during binding or positioning if the user
requested them with animate
in the c3.Selection.Options.
#
(void)
update()
Bound
This will setup event handlers for new nodes and update classes, tooltips, text, and html for all nodes based on the current data and options.
#
(void)
position(attrs)
Bound
Update the attribute values for the dom nodes of this selection based on the values and callbacks set in attrs.
#
(void)
position_tweens(attrs)
Bound
Update the attribute values for the dom nodes of this selection based on tween functions in attrs
#
(void)
style(style_new)
Bound
A method to style and setup CSS classes for the nodes in the selection based on the current {c3.Selection.options options}.
#
(HTMLElement)
node()
Bound
Return a single HTML Element for this selection. Mostly useful if you know the selection only represents a single node.


Here you can view, add, update, and delete employees, departments, and job roles
You can also view charts


Want To Work With Us? We're Looking For Part-Time SPINIs
by Tuathla LuceyPart-time Spini - Spin South West (Limerick)
SPIN South West is a fun and vibrant radio station, where we do everything differently!
It’s all about the music.
The Role
Are you energetic, outgoing and up for the craic?
Then why not join our SPINI Team part-time, where you’ll get the chance to work with Spin South West and be the face of the brand.
Responsibilities, skills and Qualifications
What you’ll do:
- Support the Spin South West programming, events & marketing departments with the delivery and execution of the Spin South West portfolio (Commercial and Brand Outside Broadcasts/Events)
- Represent the station on-street and create brand awareness
- Identify new promotional and commercial opportunities for the station
- Fulfil all elements of client briefs and promotions as booked in by the Event Executive
- Complete post campaign analysis as required (feedback, photos etc)
- Work cross functionally with teams including events, marketing, programming and engineering on events and ensure promotions / events are executed properly
- Assist the Spin South West programming, marketing and events team with the successful execution of all campaigns and events
If the following traits sound like you, you might be the right person for the job:
- Motivated and enthusiastic person
- Positive attitude with outgoing personality
- Strong Customer Service Skills
- Flexible
- Self-Motivated
- Effective communicator with both consumers and clients
- Ability to work on your own initiative as well as part of a team
- Full Clean Drivers Licence (for a minimum of 2 years)
- Experience in or interest in Broadcasting/Journalism/Marketing or similar discipline
So what’s stopping you….


The Fresh Feast Corner:
let your taste buds come experience
Specials
Quotes
Menu Bar Items Pictures, Names, Prices


Zoom In to See Radar Images Centered on Tornado Reports
Click on an image and choose a classification in the pop up menu. If you want information on the different classes, please examine the tutorial. These data are not saved on the server and will disappear if you do not download a CSV file (click Export Table to CSV File). We ask that you optionally send the CSV file to<EMAIL_ADDRESS>to add to the crowdsourced classification repository. Identifying information will never be published, and anonymous emails are accepted. There is no obligation to do this, and you are free to use the data how you wish. The UNID field can be used to join with the SVRGIS data here: YYYY CSV
Please send CSV to<EMAIL_ADDRESS>to add to crowdsourced classifications.
Note: Identifying information will never be made public and anonymous emails are accepted.
| UNID | Class Code | Class Name |
|---|---|---|
| YYYYMMMDDmmz123456789 (Example) | 0 | Cellular |


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Your looks great on any device. Connect this app any device. Can be easily read and a user understands freely what you wanted to say him or her.
Your looks great on any device. Connect this app any device. Can be easily read and a user understands freely what you wanted to say him or her.
Your looks great on any device. Connect this app any device. Can be easily read and a user understands freely what you wanted to say him or her.
Your looks great on any device. Connect this app any device. Can be easily read and a user understands freely what you wanted to say him or her.
Just Try & Fall in Love this video , Massive is clean, modern landing page for showcase your elegant app along its Video. Showup your elegant app video to your precious users..............
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app download App store, It’s a long established fact that a reader will be distracted by the readable content....
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About Me
My name is Erik Peterson. I cook, bake, run, ride bikes, garden, draw, paint, play guitar, and listen
to music. I prefer warm, humid weather between 84°
and 97° F, latitudes in the low 30°'s, and the months of
June, July, August, September, October.


Cliff Morgan (born 1930-04-07[ref]) has appeared in 55 episodes between 1970-1975. Cliff Morgan on Wikipedia.


{% extends 'base.html' %} {% block content %}
Author: {{ book.author.name }}
Author Bio: {{ book.author.biography }}
Publish date: {{ book.publish_date }}
Audience: {{ book.audience }}
Genres: {% for genre in book.genres %} {{ genre.name }}, {% endfor %}
{% endblock %}


QA TODO
Create List
Create New List
Name:
Color:
Add
New Task
×
Task Name:
Priority
Edit Task
×
Task Name:
In List:
1
Priority
Edit List
×
List Name:
Color:
Home
(current)
About
GitHub


Survey Code: COMPL3T3
PLEASE COMPLETE AT MOST ONE COMPL3T3 SURVEY. YOU WILL NOT BE PAID FOR COMPLETING MORE THAN ONE SURVEY WITH THIS CODE.
@VRWCTexan Th Va Democrats are not very Smart... "And ultimately, I'm not the governor, but the governor may have to nationalize the National Guard to enforce the law...\"\n\nNationalize the VA NATIONAL GUARD? Federalize? They support the Constitution, and 2nd Amendment!'
An example of a tweet that is anti-gun regulation. because the person who tweeted it is likely against the regulation or guns.
@VP Time, past time, to act on gun control. You pontificate. But you do nothing.
An example of a tweet that is pro-gun regulation because the person who tweeted it is requesting his elected representative to regulate guns.
@willchamberlain @senatemajldr I don’t need or want a subsidy. Handouts are for the weak. National CCW reciprocity, on the other hand, would take back #2A rights for many whose rights to carry are now infringed, strengthen deterrence, and piss off the leftist gun grabbers. @senatemajldr please act on this.
An example of a tweet that is Fear of Regulation because this tweet is anti-gun regulation and the person who tweeted this sounds affraid that guns will become more regulates.
when you are incapable of differentiating between a punch and a mass shooting
An example of a tweet that is Not Fear of Regulation because, although the person who tweeted it is likely anti-gun regulation, this tweet does not express the fear that guns will soon be regulated.
@winwithTrump45 @KamalaHarris They will need armed protection if them try to take our second amendment rights! Amer…
The author of this tweet expresses self-defense because the person who tweeted this is likely anti-gun regulation and the threat of violence suggests they hold this belief to be true.
What is an assault weapon?
The author of this tweet does not express a self-defense because, although this person is likely anti-gun regulation, this tweets is more concerned with the regulation of guns than it expresses any fear of violence.
You have been invited to take part in a research study to learn more about the way people interpret Twitter posts about firearms, shootings events, and firearm regulations in the United States. If you agree to be in this study, you will be asked to do the following: ● Label twitter posts as “Pro-Gun Regulation”, “Anti-Gun Regulation”, “Self-Defense”, or “Fear of Regulation” (see examples in the instructions page) ● Fill out a short demographic survey You may participate in this study for as long as you wish. There are no known risks associated with your participation in this research beyond those of everyday life. Although the researchers will have access to your MTurk worker ID for communication purposes, confidentiality will be strictly maintained by replacing your ID with a randomly-generated number in the research records. Your information from this study will not be used for future research. Participation in this study is voluntary. You may refuse to participate or withdraw at any time without penalty. For interviews, questionnaires, or surveys, you have the right to skip or not answer any questions you prefer not to answer. If there is anything about the study or your participation that is unclear or that you do not understand, if you have questions or wish to report a research-related problem, you may contact Roni Barak Ventura at 914-689- 5437<EMAIL_ADDRESS>370 Jay Street, Brooklyn, New York. For questions about your rights as a research participant, you may contact the University Committee on Activities Involving Human Subjects (UCAIHS), New York University, 665 Broadway, Suite 804, New York, New York, 10012, at<EMAIL_ADDRESS>or<PHONE_NUMBER>. Please reference the study # ( IRB-FY2020- 4391) when contacting the IRB (UCAIHS).
Please fill out these questions to continue with the survey.
I am a resident of the United States.
I am over 18 years of age
I agree to participate in this study.
${tweet1}
${tweet2}
${tweet3}
${tweet4}
${tweet5}
${tweet6}
${tweet7}
${tweet8}
${tweet9}
${kappa1}
${kappa2}
${kappa3}
Optional demographics questions that do not affect your payment. Fill this out to hide this section.
Are you a native speaker of English?
Do you speak a language other than English?
How do you identify your gender?
What is your age?
How do you describe your political ideology.

Any comments or concerns about this survery?
(Your answers to these questions do not affect the payment.)


See below to see the location of different events as NIMBY. We are sharing the space with full time NIMBY tenants, so make sure to respect the space around you as people will be actively working on their own projects. We are using the spaces highlighted on the map. Do not park in the NIMBY parking lot; there is parking available on Amelia st.
NIMBY is located at 8410 Amelia St in Oakland. There is limited parking available anywhere on Amelia st. We recommend carpooling or taking BART however, since there is limited parking by the venue.
NIMBY is accessible by a 20 minute walk from the Coliseum BART Station. It's definitely a safe walk over during the day. At night, you may want to consider carpooling or catching Lyft/Uber to the BART station.


Discussion
Video
Explanation with visuals
Documentations
For this project, I was initially inspired by the movie Bird Box. Solely because of how the movie speaks about mental health in such a subtle yet obvious way. The movie is revolved around a group of characters who all have to remain blinded folded as there is some sort creature who if they look at in the eye, they will immediately kill themselves and those around them.  That is basically the synopsis of the movie and it had me wondering about how much this is related to the real-life scenario of suicide.
When we think of suicide, you envision one person who is so deep into their mental illness that had to, unfortunately, take their own lives, yet we do not tend to think about the mass of people that go through the same thing, instead, the majority think we’re alone in this world. According to WHO, every forty seconds someone is taking their own lives. This was the main fact I wanted to incorporate into my project, however as I thought about it, I realized I did not just want to show whom it affects or how many people it affects but the process for an individual to reach the point of having suicidal thoughts and committing suicide.
My first sketch, which represents my first idea of having a building complex, and when the clock hits forty seconds, a light switches off. However, in this case, all the windows begin to fade into black which represents the process of being engulfed by mental illness to the extent of suicide. After this sketch, I was introduced to the Game of Life by John Horton Conway. Which is a zero-player game which has the rules of:
Any cell with fewer than two live neighbors dies, by loneliness.
Any cell with two or three live neighbors lives continues to the next generation.
However, I altered the rules based on my scenario to be:
Any cell with fewer than one or two neighbors dies but from suicide, they will be engulfed with depression which in the case of my sketches are the black cells, those who live will receive a new neighbor.


{% include 'header.html' %}
My Profile
Personal Information
Banking Information
Change Password
{%csrf_token%}
First name
Last name
Email address
Address
City
State
Phone Number
Save
{%csrf_token%}
Social Security Number
Routing Number
Account Number
Save
{%csrf_token%}
Current Password
New Password
Confirm Password
Save


Go home
We get an interesting 'magic highway' when we show the medicenter, circumcenter and orthocenter.


function Insert(Index: Integer): PPaintStage;
Insert a new stage into the list at specified position and returns a pointer to it.
Index indicates the position, where the new stage is inserted. The item that occupied that position before insertion, is shifted up together with all subsequent items.
If Index is greater than the number of stages, the new stage will be added at the end of the list. Similarly, if Index is less or equal than zero, all previous elements are shifted up and the new stage is inserted in the beginning of the list.
By default, new stages have their RunTime member set to True.