Revolution Analytics in SQL Server
Welcome back to the SQL Trail! In Episode 52, I chat with Ginger Grant, also known as “Desert Isle SQL” in the #SQLFamily circle. We talk about using Revolution Analytics or R with SQL Server: its origins, how to get started, and what to look out for as your organization starts looking at implementing R. If you’ve ever wanted to know about how using R in PowerBI or SQL Server will affect you, this episode is for you.
Listen to learn
- How one language from 1996 is transforming data science today
- How R got started and why it’s built the way it is
- What C has to do with R
- How Revolution Analytics transformed R into a useful data science tool
- How the open source version differs from the Revolution Analytics version in SQL Server
- How to use R alongside SQL Server
Ginger is a Data Platform MVP and Microsoft Certified Trainer who shares what she has learned working with data technology with clients by providing training and talks to people around the world. Recently she became an author on the book Exam Ref 70-774 Perform Cloud Data Science with Azure Machine Learning. She runs her own data consultancy practice, Desert Isle Group, to help clients analyze data using many different techniques.
The process that they do is called “chunking”. What they do is they break the processing into chunks and then combine it together. And that’s different from what open source R will do. Open source R will crash. And there are several commands of course you use to make it happen that are not a part of open source R.
Meet the Hosts
With more than 10 years of working with SQL Server, Carlos helps businesses ensure their SQL Server environments meet their users’ expectations. He can provide insights on performance, migrations, and disaster recovery. He is also active in the SQL Server community and regularly speaks at user group meetings and conferences. He helps support the free database monitoring tool found at databasehealth.com and provides training through SQL Trail events.
Eugene works as an independent BI consultant and Pluralsight author, specializing in Power BI and the Azure Data Platform. He has been working with data for over 8 years and speaks regularly at user groups and conferences. He also helps run the GroupBy online conference.
Kevin is a Microsoft Data Platform MVP and proprietor of Catallaxy Services, LLC, where he specializes in T-SQL development, machine learning, and pulling rabbits out of hats on demand. He is the lead contributor to Curated SQL, president of the Triangle Area SQL Server Users Group, and author of the books PolyBase Revealed (Apress, 2020) and Finding Ghosts in Your Data: Anomaly Detection Techniques with Examples in Python (Apress, 2022). A resident of Durham, North Carolina, he can be found cycling the trails along the triangle whenever the weather's nice enough.