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.
My last contribution to a book was in 2012. With the advent of the cloud and my continuing work with SQL Server, I jumped at the opportunity when my friends and colleagues, Pranab Mazumdar [t] and Sourabh Agarwal [t], talked to me about contributing to a book on running SQL Server on Azure.
The book “Pro SQL Server on Microsoft Azure” attempts to teach the basics of Microsoft Azure and see how SQL Server on Azure VMs (Infrastructure-as-a-Service) and Azure SQL Databases (Platform-as-a-Service) work. This book will show you how to deploy, operate, and maintain your data using any one or more combinations of these offerings along with your on-premise environments. You will also find some architecture details which are very important for an end user to know in order to run operations using Azure.
The book is available on Apress and Amazon.
We would love to hear any feedback about the book. It could be good, bad or ugly. You will find the resources available for download on the site.
I published a blog post on the Tiger blog on a recent change that was introduced for SQLVID. You can also use the SQL Server Backup Simulator which is available on our tigertoolbox GitHub repository for checking backup/restore behavior using SQLVDI APIs. The updated SQLVDI header files required to use VDC_Complete is available on the Microsoft SQL Server Samples GitHub repository.