Last Saturday, I presented a session on how to use R-Services with SQL Server to build an analytical workflow for banking solutions. I talked about how our customer, Jack Henry & Associates, an S&P 400 company that supports more than 11,300 financial institutions with core processing services, is leveraging the power of SQL Server and R to make drive intelligent insights into their data warehousing software. Below you will find a link on how you can setup the complete solution that you can deploy on our Data Science Virtual Machine on Azure.

Our Corporate Vice President, Joseph Sirosh, had demonstrated this solution along with Jack Henry & Associates at Ignite. In this session, I talked about the nuts and bolts on how to build a scalable predictive engine with SQL Server and using the enhancements shipped in SQL Server 2016. After this session, you will be able to build your very own scalable predictive engine on SQL Server 2016!

As always, it’s always great to meet my friends and the community at SQL Saturday events!

The slide deck used for my presentation can be found on SlideShare. The PowerBI dashboard and the demo scripts can be downloaded from the tigertoolbox repo on GitHub.