We know that Microsoft has integrated Python in SQL Server 2017 to enable rich data analytics capabilities within the database itself. Python is one of the most powerful languages which provides lots of built-in libraries for advanced data analytics and transformations. We can use Python for almost everything from website development to robotics and Data Science. In SQL Server 2017, Python can be used primarily for Machine learning purposes but it is not limited to that only. We can also use Python for complex data transformations and analysis which might be a bit tedious and complex while doing the same using T-SQL in SQL Server.
In this post, we will be exploring an use case example of Python for data transformation in SQL Server 2017. If you want to read more about Python and how to use it in SQL Server, you can visit my previous blog post “Why … More