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R is the hottest topic in SQL Server 2016. If you want to learn how to use it for advanced analytics, join my seminar at SQL Nexus conference on my 1st in Copenhagen. Although there is still nearly a month before the seminar, there are less than half places still available. You are also very welcome to visit my session Using R in SQL Server, Power BI, and Azure ML during the main conference.

For beginners, I have another session in the same week, just this time in Budapest. You can join me at the Introducing R session on May 6th at SQL Saturday #626 Budapest.

Here is the description of the seminar.

As being an open source development, R is the most popular analytical engine and programming language for data scientists worldwide. The number of libraries with new analytical functions is enormous and continuously growing. However, there are also some drawbacks. R is a programming language, so you have to learn it to use it. Open source development also means less control over code. Finally, the free R engine is not scalable.

Microsoft added support for R code in SQL Server 2016 and, Azure Machine Learning, or Azure ML, and in Power BI. A parallelized highly scalable execution engine is used to execute the R scripts. In addition, not every library is allowed in these two environments.

Attendees of this seminar learn to program with R from the scratch. Basic R code is introduced using the free R engine and RStudio IDE. Then the seminar shows some more advanced data manipulations, matrix calculations and statistical analysis together with graphing options. The mathematics behind is briefly explained as well. Then the seminar switches more advanced data mining and machine learning analyses. Attendees also learn how to use the R code in SQL Server, Azure ML, and create SQL Server Reporting Services (SSRS) reports that use R.

  • The seminar consists of the following modules:
  • Introduction to R
  • Data overview and manipulation
  • Basic and advanced visualizations
  • Data mining and machine learning methods
  • Scalable R in SQL Server
  • Using R in SSRS, Power BI, and Azure ML

Hope to see you there!

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