Yea. I've tripped on acid before and done some e, never ate any mushrooms or digested any other research chemicals.
 It's insane). My buddy comes up to me, and asks me if I wanted to try something new. He explained he bought some chemical off the internet. I say 'sure, give it to me in the bathroom' he says 'don't even worry about it, they're just candy hearts.' he gives me two valentine's day candy hearts, tells me to eat em. The one side tastes kind of funny. Later he told me that he buys it in crystal form off the internet, dissolves it in alcohol and eventually drops it on the candy hearts himself. Tells me to get ready because it's gonna hit me right away.
So I go into my 2nd period english class (9:20) and sit down. In about 15 minutes I start to feel like throwing up. Had I not been in class I would have just because it would've made me feel better. In an hour the nausea is gone. I head down to lunch. I'm feeling really nice. My body is tingling, I'm smiling, feel jolts of energy going up and down my entire body. Telling everybody how candy hearts are the best candy ever. I usually eat a salad at lunch but I couldn't finish it that day.
So after lunch, I'm still feeling nice, I go to my ceramics class. I start to get really hot, sweating a lot, the dehydration made me think of e. Drank some water, noticed I was drinking too much and stopped.  Was seeing some nice trails all over the place.  I go to my history class and take a test. Write a two page long essay for extra credit on pacifism. I turn in my paper and it's soaked in sweat. Ask one of my friends how my pupils are and he says he didn't notice anything. Had a conversation with the girl sitting next to me about catholic schools for about an hour, then I tell her I'm tripping out and she doesn't even believe me. I think I scared her, I don't know.
So school's over.  I had been pretty depressed lately and I was in such a good mood. I walk across the street and pushed a car full of pueto ricans out of the ice, I don't know why. I was in such a good mood. Walked around with some friends for awhile, then I went to my friend's house and played some video games for awhile. I went home around 5:30. Had pretty much come down but felt pretty fatigued.
 It was so bad. Thank god I had a shitload of vicodens I bought from my friend the day before. I was popping those things all night but I couldn't get rid of this headache. My buddy J cames over and chills for awhile, I tell him all about it and we had some pretty nice discussions about life in general, really just ramblings though. Later on this girl comes over, who normally puts me in a terrible mood since I used to be involved with her. I'll call her M. I was still in a good mood but I had a terrible headache. I ate 2 more vicodens and just lied down and talked to her for awhile. They left around 11 and I went to sleep. I wake up the next morning and my head is pounding. I ate my last pain killer and hung around the house for awhile. Headache went away around 11am.
 I kind of considered of a half assed drug, it's effects were really nice but it bored me. It was good to be on in school since I can function completely fine on it. But the headache just made it not worth it, it was terrible. I wouldn't do it again.
Experience Reports are the writings and opinions of the individual authors who submit them.
Some of the activities described are dangerous and/or illegal and none are recommended by Erowid.


Layer 3: Interactive Protocols¶
The Interactive Protocol layer contains interactive protocols which can be used as a standalone protocols or as building blocks of higher cryptographic schemes. The protocols in this layer are two-party protocols, meaning that there are two participants in the protocol execution when each one has a different role. For example, OT protocol consists of a sender and a receiver, ZK protocol consists of a prover and a verifier, etc. The communication between the parties is done through the SCAPI’s Communication Layer.
This layer contains the following components:


Letran ends San Beda reign, captures NCAA crown
Behind Jerrick Balanza, the Letran Knights spoil the San Beda Red Lions' bid for a fourth straight crown to rule NCAA Season 95 men's basketball
by JR IsagaSubscribe
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Personal Projects
Victims -
Stealth Side Scroller 3D game, developed with Unity.
Plagiarism Detector -
Plagiarism detector developed in Java, makes use of the suffix array data structure.
BusGo! -
Still in development Moblie application that tells the user information about the location and number of passengers of the buses from Bogota's Public Transport System.


When you start designing your own website there are a few things that you need to understand in order to do this efficiently. Words such as “margin”, “padding” and “border” are things you will most likely through your designing process.
When you think about these things, without involving it with a website you automatically think it’ll have something to do with the white space right? If no then I’m sorry. But hopefully by the end of this blog, you’ll have a clearer idea and the knowledge on how to apply these principles and make better design decisions.
Padding and Margin are typically the most common properties in css when spacing your
elements. Here is an image below that demonstrates what each part looks like:
This is when you’ll hear about the CSS term “box model”. Which is basically when
talking about design and layout.
Padding
Is the space between an element content and its border (if it has a border). If an element has a border around it, padding will give space from that border to the element content which appears in that border. If an element does not have a border around it, then adding padding has no effect at all on that element, because there is no border to give space from.
Margin
Is the space of outside of an element to its next outside element. Margin affects elements that both have or do not have borders. If an element has a border, margin defines the space from this border to the next outer element. If an element does not have a border, then margin defines the space from the element content to the next outer element.
Border
The border is the simplest to understand. Just like how you would normally say what a border is, in html it goes around that padding and content. Then outside the border would be the margin, as shown in the image above.
So what is the difference between them?To paraphrase everything I've explained so far, while padding deals with the inner space, margin deals with the outer space to the next outer element and border is just a property that outlines the padding and content.
Now lets test it out! Create a file called “index.html” and Rewrite the code in the image below >Ensure that you close the body and html tag, then launch the file in your web browser, click the 3 dot symbol in the top right corner, scroll down and click "more tools", then scroll down and click "Developer tools". Here you will be able to inspect the element and experiment yourself.


Why strace doesn't work in Docker While editing the capabilities page of the how containers work zine, I found myself trying to explain why strace doesn’t work in a Docker container. The problem here is – if I run strace in a Docker container on my laptop, this happens: $ docker run -it u...
Introducing Caddy 2 - The Ultimate Server with Automatic HTTPS Caddy is a powerful, enterprise-ready, open source web server with automatic HTTPS written in Go
Life, part 6 Code for this episode can be found here. The only interesting change I’ve made to the client is that if you press “P”, it pauses the simulation and runs 5000 steps of the “a…
Very British Problems: Making Life Awkward for Ourselves, One Rainy Day at a Time: Amazon.co.uk: Rob Temple:<PHONE_NUMBER>039: Books Buy Very British Problems: Making Life Awkward for Ourselves, One Rainy Day at a Time by Rob Temple (ISBN:<PHONE_NUMBER>039) from Amazon's Book Store. Everyday low prices and free delivery on eligible orders.
ongoing by Tim Bray · Bye, Amazon May 1st was my last day as a VP and Distinguished Engineer at Amazon Web Services, after five years and five months of rewarding fun. I quit in dismay at Amazon firing whistleblowers who were making noise about warehouse employees frightened of Covid-...
Backblaze B2 Cloud Storage Now Has S3 Compatible APIs With B2 Cloud Storage S3 Compatible APIs, we’re making the choice for something different a no-brainer.
Inkscape 1.0 is here! The most popular free and open-source vector graphics application in the world just hit version 1.0! This release represents a milestone in the progress of this application used by designers, artists, makers, students, and more. As always, Inkscape is ava...
Learn SQL while solving crimes! SQL Police Department SQL Police Department is an online game where you solve crimes using SQL (and learn SQL in the process). Learn SQL while playing a game!
It's better to .Take() | Codejack Given a EFCore entity object that has a navigation property, and the schema is built for a one-to-many relationship, but you want a navigation property to represent a single record based on a specific filter.
Client Certificate Authentication While most HTTPS sites only authenticate the server (using a certificate sent by the website), HTTPS also supports a mutual authentication mode, whereby the client supplies a certificate that authe…
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Apple updates 13-inch MacBook Pro with Magic Keyboard, double the storage, and faster performance Apple today updated the 13-inch MacBook Pro, improving the typing experience with the new Magic Keyboard and doubling the storage.
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Pacific Time: 07:04am Exact time now, time zone, time difference, sunrise/sunset time and key facts for Pacific Time (PT).
How to Query SQL Server XML data type Columns in Entity Framework Core 3.x - Rob Kennedy I’m sure if you’ve found this page, you’re at wits end in trying to figure out how to use the long-built-in XML query functionality of SQL Server while using Entity Framework, Dapper, or other ORM. Some might find it easy to simply write their query in pl...
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F# 5 In this episode, Robert is joined by Phillip Carter, who shows us F# 5, which is now in preview. He shows significant performance improvements and several new language features. Resources: F# 5 previ
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Modern SAT solvers: fast, neat and underused (part 1 of N) Before I started doing research, I saw SAT solvers as academically interesting but without practical uses ouside of other academic applications. I've since then changed my mind, and I want to change yours, because modern SAT solvers are neat, fast and alm...
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The FlixOne Bookstore Journey - WIN AN EBOOK PART 2: Hands-On Microservices with C# and .NET Core This is a second post of the series. In the last post WIN AN EBOOK - Hands-On Microservices with C# 8 and .NET Core 3, Ed Price announced the survey*. (Click here to enter the contest.) I would like to share a small story about the application we develo...
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Helvetia:
Adventurer, you are not too busy, are you?
Please help me! I promise that I will give you a generous reward.
"How can I help you?"


{% extends 'layout.html' %} {% set version = "opt-out-v2" %} {% set heading = "The email address not been used to sign up" %} {% set mainClasses = "nhsuk-main-wrapper--s" %} {% block beforeMain %} {% endblock %} {% block content %}
The email address<EMAIL_ADDRESS>has not been used to sign up to be contacted for coronavirus vaccine studies.
You can enter your email address again if you got it wrong.


You can add this image and the other images of the sequence to a new jScope panel by pressing the button labeled "Add Frames and shot"


--- layout: post title: Minifying dataset on test DB date: type: post published: false status: draft categories: - MySQL tags: [] meta: _edit_last: '2' author: login: shlomi email<EMAIL_ADDRESS>display_name: shlomi first_name: Shlomi last_name: Noach ---
How do you reduce the dataset on your build/tests machine without failing the tests?
The case should be that any unit test creates its own data, tests it, and hopefully purges it. Even better, you may have a schema+data generation script which you invoke prior to starting your build.
Unfortunately this is not always the reality. Some tests neglect to purge data. Sometimes developers bulk import data which is only sparsely used. And there are those reference tables which are a fundemental part of your dataset. And otherwise historic events lead to a sad truth: your "sample" dataset is bloated with plenty GB, when all you really need to pass the tests is a few MB of data.
If only we could identify which data is required and which isn't.
The aggressive approach
In this approach you just purge the entire dataset, and fix any unit test which is failing. That is, your are hopefully first able to identify those "must have" reference-tables. Otherwise you take the approach of "if the test fails on no data, then it is broken and we must fix it".
This is a great approach -- if you can handle the volumes. What if you happen to get hundreds or thousands of tests failing? Yes, those tests must be fixed, and they were born in sin; but reality is it will take you long time to review and fix them all.
The workaround approach
In this approach you identify those portions of data that are not really being used. If the tests do not actually access some data -- then it can be safely dropped without afffecting the test result.


Default
Historical Key Metrics
No
Income Statement (P&L)
From
To
KPI
Projected Key Metrics
No
Income Statement (P&L)
From
To
KPI


Stay at home and lock yourself in an isolated room to avoid infecting peaple outside or your family at home.
wear mask and gloves so that docotors when will reach you at home can't be affected.
Consider calling the green number 3030 which the government has made specially to fight corona virus.


National reporting platform - SDG
National reporting platform - SDG is a publicly available tool serving dissemination and presentation of indicators monitoring Sustainable Development Goals (SDGs) of the 2030 Agenda (with data for Poland) and a set of indicators for monitoring sustainable development on the level of the country.
Our aproach to NRP
In order to conform with the UN's Fundamental Principles of Official Statistics, the minimum characteristics an SDG NRP should have are that it should:
- is managed by national statistical offices;
- features official statistics and metadata according to established standard methodology;
- is publicly accessible;
- allows for feedback from data users;
- features open source (free) technology.
In addition, the Polish NRP reporting platform has been developed in accordance with accepted ones
international guidelines, in particular for open data and software produced in the open source model.
NRP - sources
Polish statistics actively supports the development of national reporting platforms, in particular
produced in the open-source model for the purpose of monitoring SDGs indicators.
Precursors in this field are USA and UK.
The current version of the Polish reporting platform has been developed based on earlier version of the US NRP,
and was developed by us with new functionality and adapted to the needs of Polish statistics.
The project code is publicly available in the repository -
https://github.com/statisticspoland/sdg-indicators-pl
The new universal version of the open-sdg platform developed by the US, UK and Center for Open Data Enterprise is available.
We encourage you to familiarize yourself with the national US, UK platforms for SDG and the
project documentation.
- US NPR SDG -
https://gsa.github.io/sdg-indicators-usa/
- UK NPR SDG -
https://sustainabledevelopment-uk.github.io
NRP - selected modifications developed by us
- new page layout, menu, graphics, CSS style sheet
- preparation of the mobile version
- preparation of the Polish language version
- increasing the availability of the platform - contrast
- extending the structure to accommodate in parallel both global and national SDG indicators
- SDG indicator search engine
- improvement of navigation between particular pages of the platform (eg scrolling between goals, breadcrumbs)
- improving the presentation of indicators
- dynamically generated table, charts based on selected data
- the possibility of adding several data series from available dimensional attributes
- CSV download (all or selected data)
NRP - planned development
- sharing data sets at a lower level of aggregation
- dissemination APIs
- implementation of GIS solutions using technology open source
NRP - applied technology
Back-end IT requirements:
- GitHub: hosting website designed for programming projects using the Git version control system.
- Jekyll: generator of static pages written in Ruby
Front-end IT requirements:
- XHTML, CSS, JavaScript
- Chartist: JavaScript library that offers customizable and responsive charts
- Bootstrap: framework CSS


Author: Matthew Leonawicz
License: MIT
The rtrek
package provides datasets related to the Star Trek fictional universe and functions for working with those datasets. It interfaces with the Star Trek API (STAPI), Memory Alpha and Memory Beta to retrieve data, metadata and other information relating to Star Trek.
The package also contains several local datasets covering a variety of topics such as Star Trek timeline data, universe species data and geopolitical data. Some of these are more information rich, while others are toy examples useful for simple demonstrations. The bulk of Star Trek data is accessed from external sources by API. A future version of rtrek
will also include summary datasets resulting from text mining analyses of Star Trek novels.
Image: Example Leaflet map using non-geographic Star Trek map tiles.
Install the CRAN release of rtrek
with
install.packages("rtrek")
Install the development version from GitHub with
# install.packages("remotes")
remotes::install_github("leonawicz/rtrek")
Examples
Time to be good detectives. Good thing Data has R installed.
These are just a few examples to help you jump right in. See the package articles for more.
Use the Star Trek API (STAPI) to obtain information on the infamous character, Q. Specifically, retrieve data on his appearances and the stardates when he shows up. The first API call does a lightweight, unobtrusive check to see how many pages of potential search results exist for characters in the database. There are a lot of characters. The second call grabs only page two results. The third call uses the universal/unique ID uid
to retrieve data on Q. Think of these three successive uses of stapi
as safe mode, search mode and extraction mode.
library(rtrek)
library(dplyr)
stapi("character", page_count = TRUE)
#> Total pages to retrieve all results: 66
stapi("character", page = 1) %>% select(uid, name)
#> # A tibble: 100 x 2
#> uid name
#> <chr> <chr>
#> 1 CHMA0000021696 Pechetti
#> 2 CHMA0000028502 Pomet
#> 3 CHMA0000134966 Eddie Newsom
#> 4 CHMA0000101321 T. Virts
#> 5 CHMA0000053158 Annabelle series
#> 6 CHMA0000008975 Torias Dax
#> 7 CHMA0000232471 T. Peel
#> 8 CHMA0000087568 Grathon Tolar
#> 9 CHMA0000190805 C. Russell
#> 10 CHMA0000069617 Mike Vejar
#> # ... with 90 more rows
Q <- "CHMA0000025118" #unique ID
Q <- stapi("character", uid = Q)
Q$episodes %>% select(uid, title, stardateFrom, stardateTo)
#> uid title stardateFrom stardateTo
#> 1 EPMA0000001458 All Good Things... 47988.0 47988.0
#> 2 EPMA0000000845 Q-Less 46531.2 46531.2
#> 3 EPMA0000001329 Q Who 42761.3 42761.3
#> 4 EPMA0000000651 Tapestry NA NA
#> 5 EPMA0000001510 The Q and the Grey 50384.2 50392.7
#> 6 EPMA0000000483 Encounter at Farpoint 41153.7 41153.7
#> 7 EPMA0000162588 Death Wish NA NA
#> 8 EPMA0000001413 True Q 46192.3 46192.3
#> 9 EPMA0000001377 Qpid 44741.9 44741.9
Obtain content and metadata from the article about Spock on Memory Alpha:
x <- ma_article("Spock")
x
#> # A tibble: 1 x 4
#> title content metadata categories
#> <chr> <list> <list> <list>
#> 1 Spock <xml_ndst> <tibble[,18] [1 x 18]> <tibble[,2] [14 x 2]>
x$metadata[[1]]$Born
#> [1] "January 6, 2230 (stardate 2230.06)|ShiKahr, Vulcan"
Spock was born in 2230. Obtain a subset of the Star Trek universe historical timeline for that year:
mb_timeline(2230)
#> 2230
#> $events
#> # A tibble: 5 x 4
#> period id date notes
#> <chr> <chr> <chr> <chr>
#> 1 2230 Events <NA> Argelius II and Betelgeuse become members of the Federation.[1][2]
#> 2 2230 Births_and_Deaths <NA> Spock is born deep within a cave in Vulcan's Forge on Vulcan.[3][4]
#> 3 2230 Births_and_Deaths <NA> George Samuel Kirk, Jr. is born.[5]
#> 4 2230 Births_and_Deaths <NA> David Rabin is born.[6]
#> 5 2230 Births_and_Deaths <NA> Roy John Moss is born.[7]
#>
#> $stories
#> # A tibble: 5 x 11
#> title title_url colleciton collection_url section context series date media notes image_url
#> <chr> <chr> <chr> <chr> <chr> <chr> <chr> <chr> <chr> <chr> <chr>
#> 1 Burning Dreams Burning_Dreams <NA> <NA> Chapters 4 ~ <NA> The Origin~ 2230 novel <NA> File:BurningDrea~
#> 2 Star Trek V: Th~ Star_Trek_V:_The_F~ <NA> <NA> Chapter 14 <NA> The Origin~ 2230 movie nov~ <NA> File:TrekV.jpg
#> 3 IDW Star Trek, ~ IDW_Star_Trek,_Iss~ Star Trek (I~ Star_Trek_(IDW) 2230 flashb~ <NA> The Origin~ 2230 comic Flashback to USS Kelvin and Keenser's join~ File:IDW_TOS_14_~
#> 4 Star Trek Star_Trek_(2009) <NA> <NA> Chapter 1 (~ <NA> The Origin~ 2230 movie nov~ Depiction of Spock's birth, date taken fro~ File:Star_Trek_f~
#> 5 Sarek Sarek_(novel) <NA> <NA> Chapter 5 <NA> The Origin~ 12 Novem~ novel <NA> File:Sarek_novel~
Live long and prosper.
rtrek: The core Star Trek package
Datasets related to Star Trek, API wrappers to external data sources, and more.
lcars: LCARS aesthetic for Shiny
Create Shiny apps based on the Library Computer Access/Retrieval System (LCARS).
trekcolors: A color palette package
Predefined and customizable Star Trek themed color palettes and related functions.
Matthew Leonawicz (2021). rtrek: Datasets and Functions Relating to Star Trek. R package version 0.3.3. https://CRAN.R-project.org/package=rtrek
Contributions are welcome. Contribute through GitHub via pull request. Please create an issue first if it is regarding any substantive feature add or change.
Please note that the rtrek
project is released with a Contributor Code of Conduct. By contributing to this project, you agree to abide by its terms.


Healthcare is too important to be closed.
We live in a closed healthcare system.
The algorithms that drive our care to our clinical and life data to hospital and treatment pricing, are governed by blackbox services.
By using these closed systems, we are actively designed out of the decision-making process, in favor of corporate “optimized care” for optimized returns (vs optimized health outcomes). The crooked biases built into software, implemented with intent or accidentally, need interrogation, citizen collaboration, and correction.
It’s our health.
Our very lives are at stake.
We demand that our healthcare services be open
to inspect and correct bias,
to be accessible for rapid innovation and evolution,
and to become more valuable as more patients, clinicians, clinics, companies, and governments engage in healthcare for all.
Missionette:
We imagine, design, build, ship, and deliver open source healthcare services.
Our focus is
- Policy Visualization & Evaluation
- Patient Health Literacy
- Encounter & Decision Support
Policy Visualization & Evaluation:
Social Determinants of Health
Next evolution is an interactive analysis tool for shaping policy. [Fund for $250K]
Patient Health Literacy:
Encounter & Decision Support:
Upcoming:
Self-Documenting Health Encounters [Fund for $250K]
Returning to the days of time spent caring for the patient and not for data entry.
Health Receipt [Fund for $100K]
A clear, concise, and transparent receipt of a patient visit – from diagnoses to dollars.
Our Goals
2018
- secure $250k in funding
- design and prototype SDoH policy eval tool
- design self-documenting health encounter service
2019
- secure $500k in funding
- launch SDoH policy tool v.1
- design + prototype self-documenting health encounter service, 100 patients, 3 clinicians
2020
- $1MM funding
- 10,000 patients; 2 clinics
Our partners on publicly funded projects


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javax.money
Interfaces
CurrencySupplier
CurrencyUnit
MonetaryAmount
MonetaryAmountFactory
MonetaryOperator
MonetaryQuery
MonetaryRounding
NumberSupplier
Classes
AbstractContext
AbstractContextBuilder
AbstractQuery
AbstractQueryBuilder
CurrencyContext
CurrencyContextBuilder
CurrencyQuery
CurrencyQueryBuilder
Monetary
MonetaryAmountFactoryQuery
MonetaryAmountFactoryQueryBuilder
MonetaryContext
MonetaryContextBuilder
NumberValue
RoundingContext
RoundingContextBuilder
RoundingQuery
RoundingQueryBuilder
Exceptions
MonetaryException
UnknownCurrencyException


Mulan A film review by Ram Samudrala
/Mulan/ is the latest offering from Disney, and for the most part, the result is an average animation flick. Given the number of bad movies this summer (/Godzilla/, /Hope Floats/), /Mulan/ actually may appear better than it seems. However, compared to the greatness achieved in previous Disney animated movies, I'd say /Mulan/ doesn't come close.
Mulan is the name of the heroine in the movie, a Chinese girl who goes to fight in her father's place, disguised as a male. Accompanying her is a dragon invoked by her ancestors, Mushu (Eddie Murphy), and a cricket, Cri Kee. Needless to say, Disney capitalises on every opportunity to take advantage of the fact Mulan is a female in the world of males. The most powerful part of the movie is how Mulan actually makes the decision to not lead the life of a traditional Chinese girl and take up arms instead, so her father does not have to fight again. But once she does make the decision, she proves herself in the army quite readily and before you know it, she's coming up with ideas to save China from the invading Huns. In some ways, /Mulan/ has fallen victim to what even some of the better movies this summer have: the plot has too much action and too little story.
As with /Armageddon/, what really works in this movie is the humour. The animation is mixed: the backdrops and action scenes are gorgeous, but I found the movements of the characters to be awkward. I consider the most spectacular scene in the movie to be the one starting with the soldiers charging down the mountain and culminating with an avalanche initiated by Mulan. However, this pales in comparison to scenes in previous Disney cartoons like the animal stampede in /The Lion King/. The character development, particularly of the primary villain, is minimal. This represents a marked departure from other Disney movies where villains such as a Jafar or Scar have distinct fearsome personalities. The music is highly forgettable.
Parts of the film are daring and experimental by Disney standards. Even though the movie is bold in terms of depicting a female heroine who can do what the "big boys" can (which in itself is an incongruous premise), in the end it all boils down to a typical girl-hooks-up-with-boy ending. There are plenty of disturbing scenes that are effective particularly when animated as almost still images. I thought one depicting the massacre left behind by the Huns was pretty powerful, but, again, this does match up to the depiction of the death of Simba's father in /The Lion King/. While I do think Disney did a positive thing by going for a somewhat experimental structure, the fact they flop back to the cliches makes this a somewhat schizophrenic movie and places it in the "average" category. I recommend the matinee showing or waiting for it to come out on video.
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


Theodore L. Caputi
Theodore L. Caputi
Publications
CV
News
Contact
Publications
Type
Journal article
Date
2020
2019
2018
2017
2016
2015
Theodore L. Caputi
,
John W Ayers
,
Mark Dredze
,
Nicholas Suplina
,
Sarah Burd-Sharps
(2020).
Collateral crises of gun preparation and the COVID-19 pandemic: An infodemiology study
.
PDF
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DOI
Paper Link
Theodore L. Caputi
,
A. Thomas Mclellan
(2020).
What search data shows about Americans and guns during the COVID-19 crisis
.
PDF
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DOI
Paper Link
Michael Liu
,
Theodore L. Caputi
,
Mark Dredze
,
Aaron S. Kesselheim
,
John W. Ayers
(2020).
Internet searches for unproven COVID-19 therapies in the United States
.
PDF
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DOI
Paper Link
Theodore L. Caputi
,
Chelsea L. Shover
,
Ryan J. Watson
(2020).
Physical and sexual violence among U.S. gay, lesbian, bisexual, and questioning adolescents.
.
PDF
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DOI
Paper Link
Alicia L. Nobles
,
Eric C. Leas
,
Theodore L. Caputi
,
Shu-Hong Zhu
,
Steffanie A. Strathdee
,
John W. Ayers
(2020).
Responses to addiction help-seeking from Alexa, Siri, Google Assistant, Cortana, and Bixby intelligent virtual assistants
.
PDF
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DOI
Paper Link
Theodore L. Caputi
(2020).
The medical marijuana industry and the use of 'research as marketing'
.
PDF
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DOI
Paper Link
Theodore L. Caputi
(2020).
Medical marijuana laws, substance use treatment admissions and the ecological fallacy
.
PDF
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DOI
Paper Link
Eric C. Leas
,
Alicia L. Nobles
,
Theodore L. Caputi
,
Mark Dredze
,
Davey M. Smith
,
John W. Ayers
(2019).
Trends in internet searches for cannabidiol (CBD) in the United States
.
PDF
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DOI
Paper Link
John W. Ayers
,
Theodore L. Caputi
,
Eric C. Leas
(2019).
The need for federal regulation of marijuana marketing
.
PDF
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DOI
Paper Link
Theodore L. Caputi
(2019).
Medical cannabis use
.
PDF
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DOI
Paper Link
Theodore L. Caputi
(2019).
Medical marijuana, not miracle marijuana: Some well-publicized studies about medical marijuana don’t pass a reality check
.
PDF
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DOI
paperurl
Theodore L. Caputi
,
Alicia L. Nobles
,
John W. Ayers
(2018).
Internet searches for sexual harassment and assault, reporting, and training since the #MeToo movement
.
PDF
Cite
DOI
Paper Link
Theodore L. Caputi
(2018).
Next generation media monitoring: Global coverage of electronic nicotine delivery systems (electronic cigarettes) on Bing, Google and Twitter, 2013-2018
.
PDF
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DOI
Paper Link
John W. Ayers
,
Theodore L. Caputi
,
Camille Nebeker
,
Mark Dredze
(2018).
Don’t quote me: Reverse identification of research participants in social media studies
.
PDF
Cite
DOI
Paper Link
Theodore L. Caputi
,
Laramie R. Smith
,
Steffanie A. Strathdee
,
John W. Ayers
(2018).
Substance use among Lesbian, Gay, Bisexual, and Questioning adolescents in the United States, 2015
.
PDF
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DOI
Paper Link
Theodore L. Caputi
(2018).
Medical marijuana users are more likely to use prescription drugs medically and nonmedically
.
PDF
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DOI
Paper Link
Theodore L. Caputi
(2018).
Sex and orientation identity matter in the substance use behaviors of sexual minority adolescents in the United States
.
PDF
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DOI
Paper Link
Theodore L. Caputi
(2018).
Google searches for “cheap cigarettes” spike at tax increases: Evidence from an algorithm to detect spikes in time series data
.
PDF
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DOI
Paper Link
Theodore L. Caputi
,
Kevin A. Sabet
(2018).
Population-level analyses cannot tell us anything about individual-level marijuana-opioid substitution
.
PDF
Cite
DOI
Paper Link
Theodore L. Caputi
,
Eric C. Leas
,
Mark Dredze
,
John W. Ayers
(2018).
Online sales of marijuana: An unrecognized public health dilemma
.
PDF
Cite
DOI
Paper Link
Theodore L. Caputi
,
Davey Smith
,
John W. Ayers
(2017).
Suicide risk behaviors among sexual minority adolescents in the United States, 2015
.
PDF
Cite
DOI
Paper Link
Theodore L. Caputi
(2017).
They’re heating up: Internet search query trends reveal significant public interest in heat-not-burn tobacco products
.
PDF
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DOI
Paper Link
Theodore L. Caputi
,
A. Thomas Mclellan , Ph.d.
(2017).
Response to comment by Hecht & Miller-Day on “Truth and D.A.R.E.: Is D.A.R.E.’s new Keepin’ it REAL curriculum suitable for American nationwide implementation?”
.
PDF
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DOI
Paper Link
Theodore L. Caputi
(2017).
Whether medical marijuana is ever substituted for other substances is not the full story
.
PDF
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DOI
Paper Link
Theodore L. Caputi
,
Keith Humphreys
(2016).
Medicare recipients’ use of medical marijuana
.
PDF
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DOI
Paper Link
Theodore L. Caputi
(2016).
Heat-not-burn tobacco products are about to reach their boiling point
.
PDF
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DOI
Paper Link
Theodore L. Caputi
,
Kevin A. Sabet
(2016).
Where is the reality in reality-based drug prevention?
.
PDF
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DOI
Paper Link
Theodore L. Caputi
(2016).
The case for uniform controls in drug policy studies
.
PDF
Cite
DOI
Paper Link
Theodore L. Caputi
,
A. Thomas Mclellan
(2016).
Truth and D.A.R.E.: Is D.A.R.E.’s new Keepin’ it REAL curriculum suitable for American nationwide implementation?
.
PDF
Cite
DOI
Paper Link
Theodore L. Caputi
(2015).
Selling prevention: Using a business framework to analyze the state of prevention and overcome obstacles to expanding substance abuse prevention
.
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paper Link
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The National Register of Historic Places is the official list of the Nation's historic places worthy of preservation. Authorized by the National Historic Preservation Act of 1966, the National Park Service's National Register of Historic Places is part of a national program to coordinate and support public and private efforts to identify, evaluate, and protect America's historic and archeological resources. (Image: Old Slater Mill, listed 13 Nov 1966 by Forest J. Handford)
The NRHP reviews nominations submitted by states, tribes, and other federal agencies and lists eligible properties in the National Register. We offer guidance on evaluating, documenting, and listing different types of historic places through the National Register Bulletin series and other publications. We also help qualified historic properties receive preservation benefits and incentives.


pywinEA.imputation¶
pywinEA.imputation.dynamic module¶
-
class
pywinEA.imputation.dynamic.
DynamicValue
(seed=None)¶ Bases:
pywinEA.interface.imputation.ImputationStrategy
Imputation technique that replaces missing values dynamically using a backward/forward fill with randomization.
-
impute
(data: numpy.ndarray, y: numpy.ndarray)¶ Function that receives a dataset with missing values and replaces the values filling first in a forward way, that is, replacing missing values with the previous known value. Additionally, it may be the case in which a missing value is in the first row, therefore, after filling it using a forward strategy, it applies a backward filling to avoid the possible presence of missing values. Each time the impute() method is called the rows are shuffled randomly. The dataset is returned in the same order in which it is received.
- Parameters
data – 2d-array Predictor variables with missing values
y – 1d-array Class labels
- Returns
2d-array
Dataset without imputation values.
-
pywinEA.imputation.estimator module¶
-
class
pywinEA.imputation.estimator.
SklearnImputer
(imputer)¶ Bases:
pywinEA.interface.imputation.ImputationStrategy
Class that allows to incorporate scikit-learn imputers to the genetic algorithm. With this class the values are imputed every time a dataset is generated from a new individual.
-
impute
(data: numpy.ndarray, y: numpy.ndarray)¶ Function that returns the imputed dataset using the scikit-learn imputer.
- Parameters
data – 2d-array Predictor variables with missing values
y – 1d-array Class labels
- Returns
2d-array Dataset without missing values.
-
pywinEA.imputation.fixed module¶
-
class
pywinEA.imputation.fixed.
FixedValue
(value: int = -1)¶ Bases:
pywinEA.interface.imputation.ImputationStrategy
Imputation technique that replaces missing values with a fixed value specified by the user.
-
impute
(data, y)¶ Function that receives a dataset with missing values and replaces the values with the value provided by the user.
- Parameters
data – 2d-array Predictor variables with missing values
y – 1d-array Class labels
- Returns
2d-array
Dataset without imputation values.
-


Welcome to My Collection of Dyed Disc Golf Discs
Home
The Process
Contact Me
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Home
The Process
Contact Me
Local Shops


Pindar
August 2015As someone with experience studying and working in the humanities, I know that quotes, or small pieces of text such as poems and song lyrics, are essential to self-expression for a very large number of people. Yet it seems that the Internet lacks a good place for people to collect and analyze small pieces of text and study how they interconnect. Pindar, named for one of the first Greek lyric poets, is an attempt to create that place, and a side project over the past few months.
Project scope
Pindar differs from other quote sites in a number of important ways:
- It is 100% user-powered, meaning that actual people submit and vouch for every quote
- It is open source under the MIT license, making it free to use, copy, and contribute to the code base
- It makes all data available via intelligent searching and an API for use in other applications
- It is built from the ground up to be smarter: quotes can be linked to each other on the basis of allusion, influence, and similar topics, and selected into user-created anthologies
Pindar also includes functionality you would expect, such as the ability to rate and comment on quotes, and edit all information submitted by other users for accuracy.
The solution
Pindar is built using the Python framework web2py, which helps quickly create complex sites, and hosted by PythonAnywhere. The concept and initial code was a collaboration between me and mrbeskin, and the current version is by me.
All the quotes on this site link to their pages on Pindar.
Impact
Pindar is built to scale, and we have many more features under development. Join us!
To help build a better home for quotes, visit Pindar on GitHub.


Equivalent of eHive's Param module.
More...
|
| def | __init__ (self, unsubstituted_params, debug=False) |
| | Constructor. More...
|
| |
| def | set_param (self, param_name, value) |
| | Setter. More...
|
| |
| def | get_param (self, param_name) |
| | Getter. More...
|
| |
| def | has_param (self, param_name) |
| | Returns a boolean. More...
|
| |
| def | validate_parameter_name (self, param_name) |
| | Tells whether "param_name" is a non-empty string. More...
|
| |
| def | debug_print (self, args, kwargs) |
| | Print debug information if the debug flag is turned on (cf constructor) More...
|
| |
| def | internal_get_param (self, param_name) |
| | Equivalent of get_param() that assumes "param_name" is a valid parameter name and hence, doesn't have to raise ParamNameException. More...
|
| |
| def | param_substitute (self, structure) |
| | Take any structure and replace the pairs of hashes with the values of the parameters / expression they represent Compatible types: numbers, strings, lists, dictionaries (otherwise, ParamSubstitutionException is raised) More...
|
| |
| def | subst_all_hashpairs (self, structure, callback) |
| | Parse "structure" and replace all the pairs of hashes by the result of calling callback() on the pair content #expr()expr# are treated differently by calling subst_one_hashpair() The result is a string (like structure) More...
|
| |
| def | subst_one_hashpair (self, inside_hashes, is_expr) |
| | Run the parameter substitution for a single pair of hashes. More...
|
| |
Equivalent of eHive's Param module.
Definition at line 49 of file Params.py.
◆ __init__()
| def eHive.Params.ParamContainer.__init__ |
( |
|
self, |
|
|
|
unsubstituted_params, |
|
|
|
debug = False |
|
) |
| |
Constructor.
"unsubstituted_params" is a dictionary
Definition at line 53 of file Params.py.
◆ debug_print()
| def eHive.Params.ParamContainer.debug_print |
( |
|
self, |
|
|
|
args, |
|
|
|
kwargs |
|
) |
| |
Print debug information if the debug flag is turned on (cf constructor)
Definition at line 99 of file Params.py.
◆ get_param()
| def eHive.Params.ParamContainer.get_param |
( |
|
self, |
|
|
|
param_name |
|
) |
| |
Getter.
Performs the parameter substitution
Definition at line 72 of file Params.py.
◆ has_param()
| def eHive.Params.ParamContainer.has_param |
( |
|
self, |
|
|
|
param_name |
|
) |
| |
Returns a boolean.
It checks both substituted and unsubstituted parameters
Definition at line 84 of file Params.py.
◆ internal_get_param()
| def eHive.Params.ParamContainer.internal_get_param |
( |
|
self, |
|
|
|
param_name |
|
) |
| |
◆ param_substitute()
| def eHive.Params.ParamContainer.param_substitute |
( |
|
self, |
|
|
|
structure |
|
) |
| |
Take any structure and replace the pairs of hashes with the values of the parameters / expression they represent Compatible types: numbers, strings, lists, dictionaries (otherwise, ParamSubstitutionException is raised)
Definition at line 119 of file Params.py.
◆ set_param()
| def eHive.Params.ParamContainer.set_param |
( |
|
self, |
|
|
|
param_name, |
|
|
|
value |
|
) |
| |
Setter.
Returns the new value
Definition at line 64 of file Params.py.
◆ subst_all_hashpairs()
| def eHive.Params.ParamContainer.subst_all_hashpairs |
( |
|
self, |
|
|
|
structure, |
|
|
|
callback |
|
) |
| |
Parse "structure" and replace all the pairs of hashes by the result of calling callback() on the pair content #expr()expr# are treated differently by calling subst_one_hashpair() The result is a string (like structure)
Definition at line 161 of file Params.py.
◆ subst_one_hashpair()
| def eHive.Params.ParamContainer.subst_one_hashpair |
( |
|
self, |
|
|
|
inside_hashes, |
|
|
|
is_expr |
|
) |
| |
Run the parameter substitution for a single pair of hashes.
Here, we only need to handle #expr()expr#, #func:params# and #param_name# as each condition has been parsed in the other methods
Definition at line 193 of file Params.py.
◆ validate_parameter_name()
| def eHive.Params.ParamContainer.validate_parameter_name |
( |
|
self, |
|
|
|
param_name |
|
) |
| |
Tells whether "param_name" is a non-empty string.
Definition at line 94 of file Params.py.
◆ debug
| eHive.Params.ParamContainer.debug |
◆ param_hash
| eHive.Params.ParamContainer.param_hash |
◆ substitution_in_progress
| eHive.Params.ParamContainer.substitution_in_progress |
◆ unsubstituted_param_hash
| eHive.Params.ParamContainer.unsubstituted_param_hash |
The documentation for this class was generated from the following file:


Widgets!!
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{{cost}}
{{message}}
{{inputVal}}
-
{{widget.name}}
{{widget.origin}}
{{widget.cost}}
Hello, Andrew!
Hello, Andrew!
Hello, Andrew!
Hello, Andrew!
Hello, Andrew!
Hello, Andrew!
Hello, Andrew!
Hello, Andrew!
Hello, Andrew!
Hello, Andrew!
Hello, Andrew!
Hello, Andrew!
Hello, Andrew!
Hello, Andrew!
Hello, Andrew!


| Up | TOC | Index | |||||
| << 8 API Reference | < 9.11 Version 3.1.1 August 2007 | Up: 9 Release Notes | 9.13 Version 3.0.2 February 9, 2007 > | 10 Index >> |
9.12 Version 3.1 June 2007
This release adds some new features, fixes some bugs, and improves the documentation.
9.12.1 New Features
- New built-in routines, find_from() and match_from() have been added. These work like find() and match() but they let you start searching from any element in the sequence, not necessarily at element 1. This makes some algorithms simpler and much faster. Implemented by Matthew Lewis.
- When searching for an include file specified with a relative (i.e. not absolute) file path, Euphoria will check first for a file relative to the location of the current source file. If not found, then the usual rules will apply, i.e. it will check relative to the main program file, then check the EUINC directories (if any), and finally euphoria\include. Suggested by C.K. Lester and, in various forms, by several other people. Implemented by C.K. Lester. Checked in by Matt Lewis.
- ex int.ex (in euphoria\source) will now work, since the interpreter now supports machine_proc(65,...) which passes IL to the fast C-coded back-end. You can also run int.ex with eui. This lets you easily modify the front end and get a modified Euphoria interpreter, for all platforms, that runs programs at full speed (much faster than the Euphoria-coded execute.e). You might also bind int.ex to get a single executable file for whatever platform you like.
- If the user does not supply a filename with an extension, Euphoria will attempt to open the file first with the standard extension for its respective platform, but if it does not find it, it will also look for files with the standard extensions for the other platforms. Implemented by Matthew Lewis.
- Translator: The limit on the number of additional .c files that can be created per Euphoria file has been raised from 36 to well over 1000.
9.12.2 New Documentation
- The "storage cache" compression technique that's used for bound executables and .il files, was documented in comments added to compress.e. It reduces the size of the IL by 30% or more, while allowing fast decompression.
- A documentation file, tasks.doc, was added to euphoria\demo\langwar. It describes the multiple tasks used in Language War.
9.12.3 Bug Fixes
- bug fixed: Translator: Translated code for routine_id() erroneously returned -1 when a global symbol was looked up which matched a symbol in the same file as the call to routine_id(), as well as a global symbol in another earlier file. It was treated incorrectly as a multiply-defined symbol that was lacking a namespace qualifier. Thanks to Daniel Kluss.
- bug fixed: Translator: In rare situations, a naming conflict could occur when more than one .c file is created for a Euphoria file. Thanks to DB James.
- bug fixed: Translator: get_key(), when translated/compiled with Borland or LCC, required an extra keystroke after a carriage return. Implemented by Jacques Deschenes.
- bug fixed: Source Code Portability: euphoria.h: CLK_TCK is now defined as CLOCKS_PER_SEC if not defined previously in the source. Implemented by Matt Lewis.
- bug fixed: Installer: Double-quotes were added around several filenames used in the INNO installer script (though this did not seem to affect many people).


slides: https://bit.ly/2STqsvj
https://bit.ly/2STqsvj
script: https://bit.ly/2FyFRNO
https://bit.ly/2FyFRNO


Event Location:
UT Chattanooga EMC Building
784 Vine Street
Chattanooga, Tennessee
Abstract:
With SQL Server 2014, Microsoft has added a major new feature to help optimize OLTP database implementations by persisting your data primarily in RAM. Of course it isn't that simple, internally everything that uses this new feature is completely new. While the internals of this feature may be foreign to you, accessing the data that uses the structures very much resembles T-SQL as you already know it. As such, the first important question for the average developer will be how to adapt an existing application to make use of the technology to achieve enhanced performance. In this session, I will start with a normalized database, and adapt the logical and physical database model/implementation in several manners, performance testing the tables and code changes along the way.
Speaker(s): Louis Davidson,
Abstract:
SQL Server is a huge product, with many different places a DBA can go to look for information on how the server is performing. So many in fact that they can often overlap, which sometimes makes it hard to understand why tackling a new tool is worth the effort. In this first (and hopefully not last) installment of Rick's "Why should I care" series a case for why working knowledge of how to query the plan cache is critical for performance tuning efforts in real world environments, followed by a review of relevant DMV's for the newly motivated audience. Perfect for those who are relatively new to performance tuning concerns, or advanced DBAs trying to figure out how to have a similar conversation with their less experienced peers, or developers who are curious as to why DBAs drink in the morning (allegedly).
Speaker(s): Rick Lowe,
Abstract:
When it comes to making changes to your production Analysis Services databases, do you simply open the SSAS DB in SQL Server Data Tools (or BIDS) and click through creating the changes? Does this method lead to problems keeping everything in sync and the right changes deployed to the right environment at the right time? Have you, the BI developer, had to fight to get Production access to do your own deployments? If you've answered "yes" to any of these questions, and are in search of a better way, I have the solution! In this demo-heavy session, we will look at five steps to more robust, controllable, and flexible Tabular and Multidimensional SSAS deployments.
Speaker(s): Kerry Tyler,
Abstract:
This is part two of a two part series, looking at performance tuning (i.e. performance troubleshooting) from the beginning. Part II is about the next steps after taking a look at some of the free performance analysis tools. This session will go into more detail about how to capture the current transactions with tools like sp_WhoIsActive stored procedure, Wait Stats, performance counters and Extended Events. This is a very demo intensive session some basic issues and performance analysis that will be used as a starting point for performance tuning. There will be homework!
Speaker(s): Mike Lawell,
Abstract:
You’ve heard it said, “If you have to do it twice, automate it.” Cut the learning curve and get a real handle on this powerful automation tool. This session walks you through a dozen scripts to simplify and easily automate time-consuming and tedious elements of your day to day job. This isn’t stuff you’ll use SOMEDAY, these are scripts you can use when you get home tonight. Harness the power of Power Shell to easily find Servers short on space. Script out tables and constraints across all of your databases at once. Backup databases and restore them to a different environment. These tricks and many others will allow PowerShell to simplify your job like no other tool.
Speaker(s): Aaron Nelson,
Abstract:
This is a beginner session that will look at the graphical execution plan, and the important operators, properties and what to look for in an execution plan. It will discuss the ways to determine a poor cardinality estimate, parameter sniffing and spill to tempdb.
Speaker(s): Mike Lawell,
Abstract:
How do you know if Availability Groups are the correct high availability solution for your business application? We’ll cover some common business problems that Availability Groups can solve and go through a quick demo where we’ll cover some pre and post checklist items to help you understand the requirements for a successful implementation.
Speaker(s): Doug Purnell,
Abstract:
Learn how getting involved in the SQL Community can help you get ahead within your organization, improve you skill set as well as help provide career stability. PASS and other organizations practically give you all the tools you need to succeed in the DBA field, learn about the events that help make this possible as well as how you can get involved to help others who are starting out. The rewards of the SQL Community are endless.
Speaker(s): Tim Radney,
Abstract:
PowerShell is everywhere, and that includes SQL Server. In this session we'll look at using PowerShell with both the SQL Server provider and the SMO (SQL Management Objects) library. Learn how to handle common DBA tasks, such as checking the status of various services, validating backups, and checking for disk usage. You'll also see how to perform developer tasks such as creating tables, inserting records, and querying data. Perhaps most importantly, you will learn how to read and understand the SMO object model, and translate it into PowerShell commands. Come see how to become a hero with SQL Server and PowerShell.
Speaker(s): Robert Cain,
Abstract:
In this session we will examine how SQL Server replication works. A technology that has been around, this tool is not going anywhere anytime soon. It's an excellent way to keep a subset of data synched with another database without having to synch the entire thing (although you could if you wanted to!). We will examine terms, internals, and walk through the setup of transactional and snapshot replication pieces so you can implement this technology in your environment and use it as a valuable tool in your personal knowledge book.
Speaker(s): Robert Verell,
Abstract:
There is MUCH more to SQL Server 2014 than just Hekaton and Updatable Column Store Indexes!! This session will be a medium-to-high-level overview of many of the new features and enhancements coming in SQL Server 2014. When I thought of doing this session I initially wanted to have some demos, but there are SOOO many things to cover I couldn't fit in any demos in a 1 hour session!
Speaker(s): Kevin Boles,
Abstract:
Hadoop is a hot topic right now, and Microsoft is betting that Hadoop and SQL Server will go together like peanut butter and chocolate. This presentation will spend a little bit of time on the theory behind Hadoop, but the rest will be a demo-driven look at how to get a handle on Hadoop before somebody introduces it into your enterprise.
Speaker(s): Kevin Feasel,
Abstract:
The Column Store Index functionality released in SQL 2012 did allow for stunning performance gains for OLAP-style queries, but as a v1.0 release it suffered from a number of caveats, limitations, provisos, etc. The one BIGGIE was that it made it's underlying table NON-UPDATABLE. Well, that often implementation-killing restriction has been addressed, along with a huge number of other fixes and enhancements. We will cover what those are and also see actual usage with some nice demos.
Speaker(s): Kevin Boles,
Abstract:
As SSRS report developers, we take for granted the security that is built in to Reporting Services. This Session explores the possibilities available to us by querying AD.
Speaker(s): Wes Springob,
Abstract:
Every company has a backup strategy.  In this session you will learn why backup strategies are for losers, what can I do to keep from being a loser, and how can I build a winning strategy!
Speaker(s): Ed Watson,
Abstract:
We will discuss SQL and SharePoint integration concepts, walk through the different types of SharePoint databases, and get you more comfortable with the SharePoint platform. Some of the topics covered will include: the configuration steps and settings needed for SQL Server to properly host SharePoint databases, database size considerations, the SQL permissions your SharePoint administrators REALLY need, and why SharePoint databases have a GUID in their name (and how to avoid them!).
Speaker(s): Daniel Glenn,
Abstract:
In this first part of a two part series, we look at performance tuning from the very beginning.  Someone tells you that they believe SQL Server is having a performance issue, what now? The application is running slowly. Can you help them? Do you even know where to begin to help them? In this session we'll cover how to handle performance tuning from the very beginning, when the user says "The database is slow."
Speaker(s): Ed Watson,
Abstract:
T-SQL is one of a minority of computer languages where you describe the results rather than code an algorithm. Unfortunately, many people use habits and constructions learned in imperative languages such as C# or Java when writing T-SQL Code. In this all-demo session we will explore several such commonly used constructions that are detrimental to SQL Server performance and scalability.
Speaker(s): Geoff Hiten,
Abstract:
Send your data on a journey through space and time, while engaging your audience’s senses to tell its story. MS SQL Server’s geospatial datatype offers pinpoint accuracy and many advanced location-aware capabilities, such as shapes, overlaps, distances, and direction. The Power Map feature in Office 2013 can turn your addresses and supporting figures into a movie. Turn your facts and figures into a compelling story by entering geospace: the final frontier.
Speaker(s): Dave Mattingly,
Abstract:
We will discuss what is Azure Machine Learning, how it works, what it can do, and why would you use it. This session includes demonstration and use case scenarios. The goal of this session it to provide an understand of what Azure ML can do and how it may apply to business use cases.
Speaker(s): Warren Sifre,
Abstract:
Deadlocks present a problem to many DBAs. Deadlocks can be minor occurrences or major issues making SQL Server continually choose a victim like constantly quarreling siblings. We will review locking, blocking and deadlocking. We will also review how to identify deadlocks and how to lessen the family fighting.
Speaker(s): William Wolf,
Abstract:
Power BI (Business Intelligence) is a new and emerging self-service business intelligence and business analytics framework that brings together and enhances a few key Microsoft technologies. We will answer the following questions: ◾What makes Power BI different from the Microsoft Office I have known for years? ◾What are the major Power BI features in Excel 2013 and 2010? ◾What are the major features for Power BI for Office 365? ◾How can our team license Power BI?
Speaker(s): Mark Tabladillo,
Abstract:
Have you ever felt like an extra in Office Space? You've got the skills. You've got the big brain. You feel like you have a higher calling, but those other guys get picked instead. What's the deal? In this session, you'll learn how to promote yourself, how to speak confidently, how to build your personal brand, how to demonstrate value, and how to interview.
Speaker(s): Dave Mattingly,
Abstract:
What is master data management and why should I care about it? What does the master data services components of SQL Server do for me? Overview of all features of MDS How to build out an MDM subject area How to use MDS for reference data management How to use MDS for data quality How to use MDS with a data warehouse to improve data quality
Speaker(s): Gene Webb,
Abstract:
Security is not for the faint of heart and this session is just the tip of the iceberg. Those new to the DBA role and of course the Accidental DBA's can take away a few nuggets to get them started securing their SQL Servers and raising awareness to the importance of securing the data we have been sworn to protect. Let this session jump start your journey to learning why DBA's are called the gatekeepers and increase your value in the office while getting noticed for caring enough to stop intrusions to your SQL Servers.
Speaker(s): Lindsay Clark,
Abstract:
Now with SQL 2014 you can perform visual data exploration with Power View on traditional Multi-Dimensional models. See how to build out these types of analysis using Excel and SharePoint. Get insight into tips/tricks and lessons learned from the field to increase the value of your BI SQL investments and leverage new capabilities in PowerPivot, Tabular and Power BI. Also leverage the new capabilities with the Power BI Preview and create real-time dashboards and interactive reports on any device.
Speaker(s): Dan Evans,
Abstract:
Crash course on becoming better SQL developer by focusing on common mistakes and how to overcome it. What does one need to know to become better SQL Developer? What tools can make your job easier and how to use them? How can I modular code to make it reusable? These and many other questions will be answered by reviewing mistakes, showcasing free tools and going over bad code.
Speaker(s): Vladimir Oselsky,
Abstract:
Now with SQL 2014 Data Platform you can perform visual data exploration with unstructured data sets using Hadoop and other MapReduce data sets. See how to build out these types of analysis using existing tools like Excel, SharePoint and O365. Get insight into tips/tricks and lessons learned from the field to increase the value of your existing big data investments and leverage new capabilities in Power Query, PowerPivot Power View, Power Map and Power BI!.
Speaker(s): Dan Evans,
Abstract:
Developers and DBAs naturally conflict with each other over permissions since developers want to be able to fix their code and research issues, but DBAs are the gatekeepers. In this session we will discuss Microsoft recommended best practices for setting up users and service account permissions. We will go over common server and database roles and what they actually allow, including roles that should be avoided as potential security loopholes. He will also look into alternatives for elevated database roles, and easier ways of setting up users across an enterprise environment, all as part of how to consolidate your development servers into fewer instances.
Speaker(s): Robert Verell,
Abstract:
Geared towards folks who are starting to dip their toes into data mining and analytics, but don't know where to start - this session will go over the data mining tools baked into the Sql Server/Analysis Services tool suite. During the session we will review the basic algorithms available out of the box, demo how to set them up and interpret their results.
Speaker(s): Annelies Beaty,
Abstract:
Have you heard about SSAS Tabular, maybe even know a couple things about it, but haven't had a chance to dive in and figure out how to develop one yourself? Now is the time! SSAS Tabular is a new form of business intelligence model released with SQL Server 2012, intended as an alternative to more traditional Multidimensional cubes. In this session, we will talk briefly about what Tabular is and what it does, before exploring the development process of creating a tabular model ready for ad-hoc querying.
Speaker(s): Kerry Tyler,
This is a list of speakers from the XML Guidebook records. The details and URLs were valid at the time of the event.
LinkedIn: http://www.linkedin.com/in/genewebb
Contact: http://None
Gene Webb is a Regional Sales Executive with The Profisee Group based in Alpharetta Georgia. Profisee is the successor to Stratature the company that built Master Data Services (MDS) and sold the product to Microsoft in 2007. Profisee focuses around Master Data Management (MDM) and as a Gold ISV provides solution sets built on MDS and the Microsoft Stack. Gene spent 7 years working at Microsoft as a SQL Server and Developer Tools solution specialist and an ISV Developer Evangelist.
LinkedIn: http://linkedin.com/in/tradney
Contact: http://www.timradney.com
Tim is a Data Platform MVP and has a whole collection of Microsoft and other industry certifications. His experience includes HA/DR, virtualization, SSIS, SSRS, and performance tuning, among everything else SQL Server-related. Tim is very active and passionate in the SQL Community. He runs the Columbus GA SQL Users Group, has been a PASS Regional Mentor for a number of years, was named a PASS Outstanding Volunteer in 2012, and is a frequent speaker at user groups, SQLSaturdays and PASS Summits. Tim is one of the top ranked in karma on ask.sqlservercentral.com, answers questions as @tradney on Twitter, and blogs at http://timradney.com and SQLskills blog at http://www.SQLskills.com/blogs/tim.
LinkedIn: http://www.linkedin.com/in/genewebb
Contact: http://None
Gene Webb is a Regional Sales Executive with The Profisee Group based in Alpharetta Georgia. Profisee is the successor to Stratature the company that built Master Data Services (MDS) and sold the product to Microsoft in 2007. Profisee focuses around Master Data Management (MDM) and as a Gold ISV provides solution sets built on MDS and the Microsoft Stack. Gene spent 7 years working at Microsoft as a SQL Server and Developer Tools solution specialist and an ISV Developer Evangelist.
LinkedIn: https://linkd.in/svena
Contact: https://svenaelterman.wordpress.com
Sven Aelterman is the Director of IT for the Sorrell College of Business at Troy University; a role with a global scope. He is also a lecturer in Information Systems and teaches courses in data warehousing and information security. He continues consulting work through Adduxis, where he assists customers with various Microsoft technology implementations. Co-author of The Art of SQL Server FILESTREAM, published by Red Gate; and SQL Server 2017 Administration Inside Out, published by Microsoft Press. Cloud Software Architect at Sorrell Solutions, L.L.C. developing a Microsoft Azure-hosted Electronic Health Record system.
LinkedIn: http://www.linkedin.com/in/kekline/
Contact: http://blogs.sentryone.com/author/kevinkline
Kevin Kline is a database and industry expert serving as Principal Program Manager at SentryOne, the industry leading SQL Server database tools vendor. A Microsoft SQL Server MVP since 2003, he is a founder and former president of PASS. Kevin is an author of many books, blogger, columnist, and popular international speaker. Kevin’s best known book is the best-selling SQL in a Nutshell and contributes monthly to Database Trends Applications magazine. He tweets at @kekline and blogs at http://Blogs.SQLSentry.com/Author/KevinKline.
LinkedIn: http://www.linkedin.com/in/thesqlguru
Kevin Boles is a SQL Server expert, working exclusively with the product since v6.5. With over 25 years of database experience and over 45,000 man hours of SQL Server engine experience, he holds many related certifications, is an MCT and was a SQL Server MVP from 2007 to 2012. Kevin has been a very successful independent consultant for over 20 years. His passion is the relational engine, especially designing, building, analyzing and tuning high-performance database applications.
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 SQLSaturday veteran speaking at nearly 40 SQLSaturdays 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/geoffhiten
Geoff Hiten is a Technical Solutions Professional at Microsoft. Geoff began working with SQL Server in 1992 with version 4.2 and has used every version since. He specializes in highly available SQL systems, performance tuning, and systems migration. Geoff is heavily involved in the Microsoft SQL Server Community and was initially awarded MVP status in 2004. Geoff was appointed in 2011 to fill an interim Director position at the National PASS organization.
LinkedIn: https://www.linkedin.com/in/sumanth053
Business Intelligence Architect
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.
LinkedIn: http://www.linkedin.com/in/kekline/
Contact: http://blogs.sentryone.com/author/kevinkline
Kevin Kline is a database and industry expert serving as Principal Program Manager at SentryOne, the industry leading SQL Server database tools vendor. A Microsoft SQL Server MVP since 2003, he is a founder and former president of PASS. Kevin is an author of many books, blogger, columnist, and popular international speaker. Kevin’s best known book is the best-selling SQL in a Nutshell and contributes monthly to Database Trends Applications magazine. He tweets at @kekline and blogs at http://Blogs.SQLSentry.com/Author/KevinKline.
LinkedIn: http://www.linkedin.com/in/thesqlguru
Kevin Boles is a SQL Server expert, working exclusively with the product since v6.5. With over 25 years of database experience and over 45,000 man hours of SQL Server engine experience, he holds many related certifications, is an MCT and was a SQL Server MVP from 2007 to 2012. Kevin has been a very successful independent consultant for over 20 years. His passion is the relational engine, especially designing, building, analyzing and tuning high-performance database applications.
LinkedIn: https://www.linkedin.com/pub/lindsay-clark/58/5b/29
Lindsay started out in network administration with a BA in Computer Science from South University prior to finding her true love in database administration. Whether it#39;s mentoring in the office or presenting sessions at SQLSaturday, Lindsay loves to find new ways to collaborate and share information. In addition to her role as DBA at American Credit Acceptance, she actively recruits speakers for her user group and chairs her local SQLSaturday event.
LinkedIn: http://www.linkedin.com/in/kekline/
Contact: http://blogs.sentryone.com/author/kevinkline
Kevin Kline is a database and industry expert serving as Principal Program Manager at SentryOne, the industry leading SQL Server database tools vendor. A Microsoft SQL Server MVP since 2003, he is a founder and former president of PASS. Kevin is an author of many books, blogger, columnist, and popular international speaker. Kevin’s best known book is the best-selling SQL in a Nutshell and contributes monthly to Database Trends Applications magazine. He tweets at @kekline and blogs at http://Blogs.SQLSentry.com/Author/KevinKline.
LinkedIn: https://www.linkedin.com/in/rgverell
Contact: http://sqlcowbell.com/wordpress/
Robert Verell is a SQL Server professional working in the Nashville area and has worked in healthcare, insurance, and banking. He found his passion for databases by learning SQL Server Integration Services and writing stored procedures, and eventually became a database administrator. Robert is a chapter lead for the Nashville SQL Server User's Group, a volunteer for SQLSaturday, and was a finalist in the 2016 PASS Summit Speaker Idol competition.
LinkedIn: https://www.linkedin.com/in/marktab
Contact: http://marktab.net
Mark Tabladillo Ph.D. works for Microsoft as a Cloud Solution Architect for the US CTO Customer Success Team. He has a science doctorate from Georgia Tech. Based in Atlanta, GA, Mark provides cloud enterprise solutions for companies in the US for Microsoft's strategic clients. He is a chapter leader for the PASS Data Science virtual chapter.
LinkedIn: http://www.linkedin.com/in/blackwyrm
Contact: http://www.davemattingly.net
Dave Mattingly has spent thirty years of designing, developing, databasing, documenting, and directing a variety of projects in many industries. In the past, he’s worked on space travel, fraud prevention, data accuracy, and virtual reality for industries such as games, ecology, health, religion, and money. He also writes, publishes, orates, teaches, and preaches.
LinkedIn: http://www.linkedin.com/in/wsifre
Contact: http://www.broadstrokeconsulting.com/blog/, http://www.allegient.com
Warren Sifre has been in the IT community since 1998 and has worked in a variety of industries deploying solutions utilizing MS SQL Server in one capacity or another. In 2003, he decided to make SQL Server his mastery and has since developed skills in most defined disciplines of MS SQL. Currently he is a Principal Consultant and Technology Leader with Moser Consulting. He is responsible for BI Solution Architecture and the mentorship of team members. He has been a SQLSaturday Speaker since 2012, Azure Global Bootcamp, and many user groups in 2015 alone. He has a passion for knowledge transfer and solutions architecture, with a keen interested in Info Security.
LinkedIn: https://www.linkedin.com/in/danielglenn
Contact: https://DanielGlenn.com
Daniel is a Microsoft MVP with 15 years' experience building technology solutions, intranets and extranets. As Practice Leader for the Nashville-based InfoWorks Inc., Daniel helps organizations of all sizes solve complex data challenges by implementing Office 365 and SharePoint without the need of customization and costly investments. Daniel is passionate about giving back and building the Microsoft technical community. Daniel holds leadership roles in various local user groups, serves as an organizer for Microsoft 365 Nashville, and is a co-host for the popular podcast 365 Message Center Show on https://MessageCenter.Show. You can follow Daniel online at https://DanielGlenn.com and @DanielGlenn on Twitter.
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/mikelawell
Contact: http://sqlserverassociates.com/Blog
Mike Lawell is an 19 year veteran of SQL Server, working with all versions since 6.5. He specializes in performance tuning and high availability as an independent consultant. He is a Linchpin People Teammate, he also consults with SolidQ, Intellinet and Microsoft Consulting Services. He is also a certified Scuba instructor with a long bucket list of dive sites. He resides in Atlanta, GA and you can catch him at many of the SQLSaturdays in the SE region of the United States.
LinkedIn: https://linkd.in/svena
Contact: https://svenaelterman.wordpress.com
Sven Aelterman is the Director of IT for the Sorrell College of Business at Troy University; a role with a global scope. He is also a lecturer in Information Systems and teaches courses in data warehousing and information security. He continues consulting work through Adduxis, where he assists customers with various Microsoft technology implementations. Co-author of The Art of SQL Server FILESTREAM, published by Red Gate; and SQL Server 2017 Administration Inside Out, published by Microsoft Press. Cloud Software Architect at Sorrell Solutions, L.L.C. developing a Microsoft Azure-hosted Electronic Health Record system.
LinkedIn: http://www.linkedin.com/in/SQLWes/
Contact: http://SQLWes.com
Wes Springob is a Premier Field Engineer (PFE) at Microsoft and speaks regularly on Business Intelligence, Power BI, database and report development.
A IT professional with 15 years experience, Annelies has spent much of her career in data intensive application development and data management. Starting back in 2000 with Sql Server 2000 and .Net Programming, she has progressed from database design and development for application needs to data integration team management and currently is responsible for long term strategic planning and direction at US Xpress.
LinkedIn: http://www.linkedin.com/pub/rick-lowe/a/228/441/
Contact: http://dataflowe.wordpress.com/
Rick is a Microsoft Certified Master with more than 20 years of SQL Server experience in a variety of roles. He currently lives in Washington state and works as an independent consultant providing remote performance DBA and performance tuning services for clients in the USA and Canada. His first exposure to SQL Server was as a database developer, but over time he became more and more interested in how the database engine operated... eventually specializing more on performance issues than code. Rick will work with all things relational, but most enjoys helping smaller companies get better performance from MSSQL, as well as smoothing over relationships between DBA and development teams.
LinkedIn: https://www.linkedin.com/in/dougpurnell/en
Contact: http://sqlnikon.wordpress.com
Doug Purnell is a DBA at Elon University and is a co-leader for the Triad SQL BI PASS User Group. In his spare time you can find Doug taking photos and cooking up some BBQ on his cooker.
LinkedIn: http://www.linkedin.com/in/thesqlguru
Kevin Boles is a SQL Server expert, working exclusively with the product since v6.5. With over 25 years of database experience and over 45,000 man hours of SQL Server engine experience, he holds many related certifications, is an MCT and was a SQL Server MVP from 2007 to 2012. Kevin has been a very successful independent consultant for over 20 years. His passion is the relational engine, especially designing, building, analyzing and tuning high-performance database applications.
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/blackwyrm
Contact: http://www.davemattingly.net
Dave Mattingly has spent thirty years of designing, developing, databasing, documenting, and directing a variety of projects in many industries. In the past, he’s worked on space travel, fraud prevention, data accuracy, and virtual reality for industries such as games, ecology, health, religion, and money. He also writes, publishes, orates, teaches, and preaches.
LinkedIn: http://www.linkedin.com/in/arcanecode
Contact: http://arcanecode.com
Robert C. Cain (http://arcanecode.com) is a Microsoft MVP, MCTS Certified in BI, and is the owner of Arcane Training and Consulting, LLC. He is also a course author for Plurasight, author for Red Gate's SImple Talk website, and co-author of 4 books. A popular speaker, Robert has presented at events such as the SQL PASS Summit, TechEd, CodeStock, and numerous SQLSaturdays. Robert has over 25 years experience in the IT industry, working in a variety of fields ranging from manufacturing to telecommunications to nuclear power.
LinkedIn: https://www.linkedin.com/in/mindycurnutt
Contact: http://www.mindycurnutt.com
Mindy Curnutt is a 5X Microsoft Data Platform MVP, Business Owner and Entrepreneur. Her specialties include SQL Server hardware, configuration, migrations, scalability, performance tuning. She has been actively involved in the SQL Server Community for over two decades and has become a well known speaker within the SQL and Transportation Management communities. She is a two-time PASS Volunteer of the Month, has presented at 6 SQLPASS Summits, Live360, DevConnections, MVPMix and too many SQLSaturdays to count. She is currently the President of the North Texas SQL Server User Group out of Dallas/Fort Worth, TX.
LinkedIn: https://www.linkedin.com/in/sqlvariant
Contact: http://sqlvariant.com/
Aaron Nelson is an author, public speaker, blogger, and leader in the community. He has over 15 years of experience in architecture, Business Intelligence, development, and performance tuning of SQL Server. Aaron has received many certifications and is a six time winner of the Microsoft MVP Award. Aaron leads the PowerShell Virtual Group of PASS (SQLPS.io), is a board member of PowerShell.org, and is a volunteer at his PASS Local Group, AtlantaMDF.
LinkedIn: http://www.linkedin.com/in/louisdavidson
Contact: https://www.red-gate.com/simple-talk/author/louis-davidson/
Louis Davidson has worked in the IT industry for over 25 years as a corporate database developer and architect. He has been a Microsoft SQL Server MVP for 15 years and has written five books on database design, and contributed to many other SQL Server books as an author and tech editor. He has a bachelor's degree in Computer Science from the University of Tennessee at Chattanooga. You can read more about Louis at http://drsql.org.
LinkedIn: https://www.linkedin.com/in/mikelawell
Contact: http://sqlserverassociates.com/Blog
Mike Lawell is an 19 year veteran of SQL Server, working with all versions since 6.5. He specializes in performance tuning and high availability as an independent consultant. He is a Linchpin People Teammate, he also consults with SolidQ, Intellinet and Microsoft Consulting Services. He is also a certified Scuba instructor with a long bucket list of dive sites. He resides in Atlanta, GA and you can catch him at many of the SQLSaturdays in the SE region of the United States.
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 SQLSaturday Atlanta, Atlanta BI, and Pensacola.
LinkedIn: http://www.linkedin.com/in/JohnDeardurff
Contact: https://www.sqlmct.com
John has been a Microsoft Certified Trainer (MCT) for over 20 years teaching Azure, SQL Server, Exchange Server, and Windows Server networking courses. He is currently a SQL Premier Field Engineer for Microsoft. He is an MCT Regional Lead for the Eastern United States and a former Data Platform MVP.
LinkedIn: http://www.linkedin.com/in/louisdavidson
Contact: https://www.red-gate.com/simple-talk/author/louis-davidson/
Louis Davidson has worked in the IT industry for over 25 years as a corporate database developer and architect. He has been a Microsoft SQL Server MVP for 15 years and has written five books on database design, and contributed to many other SQL Server books as an author and tech editor. He has a bachelor's degree in Computer Science from the University of Tennessee at Chattanooga. You can read more about Louis at http://drsql.org.
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/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: http://www.linkedin.com/in/kekline/
Contact: http://blogs.sentryone.com/author/kevinkline
Kevin Kline is a database and industry expert serving as Principal Program Manager at SentryOne, the industry leading SQL Server database tools vendor. A Microsoft SQL Server MVP since 2003, he is a founder and former president of PASS. Kevin is an author of many books, blogger, columnist, and popular international speaker. Kevin’s best known book is the best-selling SQL in a Nutshell and contributes monthly to Database Trends Applications magazine. He tweets at @kekline and blogs at http://Blogs.SQLSentry.com/Author/KevinKline.
LinkedIn: https://www.linkedin.com/in/rgverell
Contact: http://sqlcowbell.com/wordpress/
Robert Verell is a SQL Server professional working in the Nashville area and has worked in healthcare, insurance, and banking. He found his passion for databases by learning SQL Server Integration Services and writing stored procedures, and eventually became a database administrator. Robert is a chapter lead for the Nashville SQL Server User's Group, a volunteer for SQLSaturday, and was a finalist in the 2016 PASS Summit Speaker Idol competition.
LinkedIn: https://www.linkedin.com/in/voselsky
Vladimir Oselsky (Vlady) is an IT Professional with over 15 years of experience in various IT Jobs. Born and raised in Siberia, moved to United States in late 90s. Passion for computer and programming started with DOS games and learning Borland Paschal in 8th grade as a hobby. IT career consisted of everything from hardware and software support to server administration. Current focus on SQL Server Database Development and .NET programming
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 SQLSaturday Atlanta, Atlanta BI, and Pensacola.
LinkedIn: http://www.linkedin.com/in/JohnDeardurff
Contact: https://www.sqlmct.com
John has been a Microsoft Certified Trainer (MCT) for over 20 years teaching Azure, SQL Server, Exchange Server, and Windows Server networking courses. He is currently a SQL Premier Field Engineer for Microsoft. He is an MCT Regional Lead for the Eastern United States and a former Data Platform MVP.
LinkedIn: http://www.linkedin.com/in/louisdavidson
Contact: https://www.red-gate.com/simple-talk/author/louis-davidson/
Louis Davidson has worked in the IT industry for over 25 years as a corporate database developer and architect. He has been a Microsoft SQL Server MVP for 15 years and has written five books on database design, and contributed to many other SQL Server books as an author and tech editor. He has a bachelor's degree in Computer Science from the University of Tennessee at Chattanooga. You can read more about Louis at http://drsql.org.
LinkedIn: http://www.linkedin.com/in/arcanecode
Contact: http://arcanecode.com
Robert C. Cain (http://arcanecode.com) is a Microsoft MVP, MCTS Certified in BI, and is the owner of Arcane Training and Consulting, LLC. He is also a course author for Plurasight, author for Red Gate's SImple Talk website, and co-author of 4 books. A popular speaker, Robert has presented at events such as the SQL PASS Summit, TechEd, CodeStock, and numerous SQLSaturdays. Robert has over 25 years experience in the IT industry, working in a variety of fields ranging from manufacturing to telecommunications to nuclear power.
LinkedIn: https://www.linkedin.com/in/mindycurnutt
Contact: http://www.mindycurnutt.com
Mindy Curnutt is a 5X Microsoft Data Platform MVP, Business Owner and Entrepreneur. Her specialties include SQL Server hardware, configuration, migrations, scalability, performance tuning. She has been actively involved in the SQL Server Community for over two decades and has become a well known speaker within the SQL and Transportation Management communities. She is a two-time PASS Volunteer of the Month, has presented at 6 SQLPASS Summits, Live360, DevConnections, MVPMix and too many SQLSaturdays to count. She is currently the President of the North Texas SQL Server User Group out of Dallas/Fort Worth, TX.
LinkedIn: https://www.linkedin.com/in/mindycurnutt
Contact: http://www.mindycurnutt.com
Mindy Curnutt is a 5X Microsoft Data Platform MVP, Business Owner and Entrepreneur. Her specialties include SQL Server hardware, configuration, migrations, scalability, performance tuning. She has been actively involved in the SQL Server Community for over two decades and has become a well known speaker within the SQL and Transportation Management communities. She is a two-time PASS Volunteer of the Month, has presented at 6 SQLPASS Summits, Live360, DevConnections, MVPMix and too many SQLSaturdays to count. She is currently the President of the North Texas SQL Server User Group out of Dallas/Fort Worth, TX.
LinkedIn: https://www.linkedin.com/in/davefackler
Contact: http://davefackler.blogspot.com/
Dave Fackler is a business intelligence architect, focusing on enterprise data warehouse and business intelligence solutions using Microsoft technologies. Dave has helped organizations design and implement large-scale data warehouses, exploiting SQL Server enterprise database features using dimensional modeling design principles and best practices. He has also architected and developed several enterprise ETL processes using SSIS and its robust set of high-performance tasks and transformations. Dave has delivered various end-user reporting solutions using SSAS and SSRS, often coupled with SharePoint and Office components. Dave speaks about business intelligence at numerous technical conferences, user groups and professional groups each year.
The following is a list of sponsors that helped fund the event.


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