SQL Server 2017 : Data Transformation and Interpolation using Python

As a continuation to my previous article, How to use Python in SQL Server 2017 to obtain advanced data analytics, a little bit of curiosity about Deep Learning with Python integration in SQL Server led me to write this latest article.

With Python running within SQL Server, you can bring the existing data and the code together. Data is accessible directly, so there’s no need to extract query data sets, moving data from storage to the application. It’s a useful approach, especially considering issues of data sovereignty and compliance, since the code runs within the SQL Server security boundaries, triggered by a single call from T-SQL stored procedures.

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Data Interpolation and Transformation using Python in SQL Server 2017

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Please share your thoughts in the comments section. I would love to hear and learn from you as well.

Thanks for reading my space!

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About Prashanth Jayaram

DB Technologist, Author, Blogger, Service Delivery Manager at CTS, Automation Expert, Technet WIKI Ninja, MVB and Powershell Geek My Profile: https://social.technet.microsoft.com/profile/prashanth jayaram/ http://www.sqlshack.com/author/prashanth/ http://codingsight.com/author/prashanthjayaram/ https://www.red-gate.com/simple-talk/author/prashanthjayaram/ http://www.sqlservercentral.com/blogs/powersql-by-prashanth-jayaram/ Connect Me: Twitter @prashantjayaram GMAIL powershellsql@gmail.com The articles are published in: http://www.ssas-info.com/analysis-services-articles/ http://db-pub.com/ http://www.sswug.org/sswugresearch/community/
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