Vote Now to Pick the April 11 #GroupBy Conference Lineup

At GroupBy, your votes pick the conference lineup. Anybody can submit an abstract on any topic, and then the choice is yours.

The next conference is April 11, and the sessions are in!

Here are the sessions in the running for the April online conference. Tell us what you want to see by voting now – voting closes March 15th!

Which 5 sessions do you want to see in April?

  • PowerShell for the SQL DBA - by Ben Miller (11%, 237 Votes)
  • SQL Server Memory Internals & Troubleshooting - by Amit Bansal (8%, 173 Votes)
  • SQL Server Developer Tricks - by Amit Bansal (7%, 155 Votes)
  • Automate the Pain Away with SQL Server 2019 - by John Sterret (5%, 115 Votes)
  • Creating a SQL Server Test Lab On Your Workstation - by David Fowler (5%, 113 Votes)
  • Would you run production SQL Server on Docker? - by James Anderson (5%, 102 Votes)
  • Is the cloud cost effective? - by Steph Locke (4%, 89 Votes)
  • The extraordinary power of Python support in SQL Server - by Maria Zakourdaev (4%, 86 Votes)
  • Linux OS Fundamentals for the SQL Admin - by Anthony Nocentino (4%, 85 Votes)
  • We need DataOps – NOW - by Steph Locke (3%, 76 Votes)
  • Inside Kubernetes - An Architectural Deep Dive - by Anthony Nocentino (3%, 73 Votes)
  • Think Like A Certification Exam - by William Assaf (3%, 72 Votes)
  • How to write a kick a** anything - by Blythe Morrow (3%, 72 Votes)
  • Getting Started with Azure Data Factory - by Andy Leonard (3%, 66 Votes)
  • Getting Data Into Power BI - by Matt LeBlanc (3%, 62 Votes)
  • Why Power BI isn’t for You: Pitfalls and Limitations - by Eugene Meidinger (3%, 61 Votes)
  • The Evolution of SQL Server – Azure SQL Managed Instances - by Javier Villegas (3%, 56 Votes)
  • Power BI Internals: Deep Dive - by Eugene Meidinger (3%, 56 Votes)
  • Build your first bot – no code required! - by Steph Locke (2%, 52 Votes)
  • Marketing for SQL Consultants and Business Owners - by Blythe Morrow (2%, 49 Votes)
  • SQL Server and R for real-time predictions - by Steph Locke (2%, 45 Votes)
  • R for reporting - by Steph Locke (2%, 44 Votes)
  • Preparing your business for data science - by Steph Locke (2%, 44 Votes)
  • Just Enough Database Theory for Power BI - by Eugene Meidinger (2%, 44 Votes)
  • Power BI Newbie Hour: Panel Q/A - by Eugene Meidinger (2%, 43 Votes)
  • Polybase In Action - by Kevin Feasel (2%, 36 Votes)
  • An (Advanced) Introduction to DAX - by Eugene Meidinger (2%, 35 Votes)
  • Scrape Reddit for Testing Data using SQL Server & Python - by Rich Benner (1%, 32 Votes)
  • Solving Power BI pain points with R - by Steph Locke (1%, 13 Votes)

Total Voters: 484

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Speakers, start your submission! We’re happy to announce the next GroupBy will be on April 11th, 2019 and submissions are open today!
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You Voted! Here’s the GroupBy April Lineup.

1 Comment. Leave new

Plugging in pre-trained NLP models – Tensor2Tensor, ULMAFIT, GPT*, BERT, Ludwig into SQL server – wrapping their functions (generate, classify, summarise etc) up as custom functions that would consume a custom aggregate function that concatenates character data – (a SUM for text ) might make databases a place to do NLP?
So a session on BERT in SQL server, please?

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