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SQL Server 2017 has finally arrived, bringing with it a host of exciting new features. Of particular interest to BI practitioners and data scientists is the integration of the Python programming language into the SQL ecosystem. This integration opens up a number of possibilities for in-database analytics and intelligent database applications, so let's get started!
In this introductory session we'll briefly introduce the Python language and then look at how to install and administer Machine Learning Services. We'll start to demonstrate the power of Python by showing you how to create and run simple scripts from within T-SQL. We'll then discuss some of the powerful open source packages that are available to aid your data analyses. Finally, we'll go through some examples of how to use Python to integrate data analytical methods in real-world situations, and wow your customers with the power of analytics!
Bio: Chris Hyde is an independent SQL Server BI and DBA consultant based in Albuquerque, NM, and is the leader of the Albuquerque PASS local user group. He is a part of the Friends of Redgate program and was recently named in the Idera ACE class of 2018. He loves loud music and cricket, but not usually at the same time.