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[AI06] Running ML in SQL Serve

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SQL Server is one of the most popular enterprise databases in the market and recently SQL Server has added a bunch of features that really play well to Machine Learning. This includes R Server and being able to run Python directly inside SQL Server. This unlocks the ability to some really interesting things like running Tensorflow and CNTK directly inside stored procedures. This opens a world of possibilities of things that we can do with your data and if you’ve got data in SQL server, you don’t have to pay the performance or bandwidth taxes.
In this session, we’ll do a short dive into ML and the current options in SQL Server. Come explore the possibilities.

受講対象: 次世代の Intelligent Data Platform を理解したい開発者、データサイエンティストの皆様は是非ご参加ください。

Josh Holmes
Microsoft Corporation
Developer Experience and Evangelism
Principal SDE Manager, Senior SDE

Mustafa Kasap
Microsoft Corporation
Senior SDE

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[AI06] Running ML in SQL Serve

  1. 1. building a smarter world…
  2. 2. Josh Holmes @joshholmes josh.holmes@microsoft.com http://www.joshholmes.com http://slideshare.net/joshholmes
  3. 3. a = 2 b = 4
  4. 4. What’s c?
  5. 5. What’s c? What’s d?
  6. 6. a = 2 b = 4 c = 6
  7. 7. define the goal collect & manage data build the model evaluate & critique model deploy model what problem am I solving? what information do I need? find patterns in the data that lead to a solution does the model solve my problem? use the model in the real world
  8. 8. features model output learning algorithm
  9. 9. features describe the domain e.g. temperature, altitude, wind speed, …
  10. 10. labels augment the learning data e.g. this photo contains a man
  11. 11. unsupervised learning discovering clusters and associations using unlabeled data
  12. 12. supervised learning using labeled data to train the model
  13. 13. Analytic Server Separate Service or Embedded Logic
  14. 14. • Easy Operationalization • Performance • High Availability • Resource Governance
  15. 15. SQL Server ML Services SQL Server R Services
  16. 16.  Run R / Python script as-is  Embed secrets in scripts  Do data transformations that can be achieved in SQL  Access network resources  Process/transform files as part of the stored procedure call  Embed the R/Python code directly in applications • Develop/Test from RTVS, PTVS, RStudio or other IDE • SQL Compute Context from client • Data processing & transformations in SQL Server • Data integration using SQL Server features • Model management in database Do Leverage best of T-SQL & R / Python. Use the right tool!
  17. 17. R Services ML Services SSMS Reports for R Services SQL Server Machine Learning Services SQL Server Developer Tutorials Microsoft Virtual Academy http://microsoft.com/ai
  18. 18. building a smarter world…

SQL Server is one of the most popular enterprise databases in the market and recently SQL Server has added a bunch of features that really play well to Machine Learning. This includes R Server and being able to run Python directly inside SQL Server. This unlocks the ability to some really interesting things like running Tensorflow and CNTK directly inside stored procedures. This opens a world of possibilities of things that we can do with your data and if you’ve got data in SQL server, you don’t have to pay the performance or bandwidth taxes. In this session, we’ll do a short dive into ML and the current options in SQL Server. Come explore the possibilities. 受講対象: 次世代の Intelligent Data Platform を理解したい開発者、データサイエンティストの皆様は是非ご参加ください。 Josh Holmes Microsoft Corporation Developer Experience and Evangelism Principal SDE Manager, Senior SDE Mustafa Kasap Microsoft Corporation Senior SDE

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