Episode 127: Developing in the database

There has been a remarkable shift introduced in the new features of SQL Server--programming languages have been embedded into the database.  This has led to a few "What are you thinking" questions from myself and others.  It also opens new opportunities for those working with SQL Server and in this episode, I chat with Andy Roberts and Chris Hyde and discuss the new features of R and Python--why they are included, how data teams are changing, and what this means for the rest of us.  As someone who does not and has not ever considered themselves a programmer, I don't try to tackle any of the technical challenges of the language.  We stay safe on the side of ideas, process, with a sprinkle of installation and setup. One of the most compelling ideas from this conversation is the democratizing of data.  Sure, this is not a new concept; however, now with a programming language in the database it will force a thinking realignment for those that traditionally called themselves gatekeepers.  Where CLR couldn't quite do the trick, I think the introduction of these languages is going to require increased collaboration with teams and force administrators to up their game as they tackle challenges of data distribution and data consumption. I am interested to see what lies ahead and how consumers will use these new features.  We already have some insights into R and while I won't call it a smashing success—it is certainly useful to those who know how to take advantage of it and those numbers appear to be growing.  With Python, I think we are increasing the breadth of those who can take advantage of analytics in the database, which I think only bodes well for those who enjoy working with SQL Server. What about you?  Is your team trying to implement R or Python?  What new skills have you had to learn because of these changes?  Hit me up on social media. The show notes for today's episode can be found at http://sqldatapartners.com/2018/03/15/episode-127-developing-in-the-database. Have fun on the SQL Trail!