R is a popular language for statistical analysis and visualizations. This course teaches you how to install R packages on SQL Server, use functions from Microsoft’s R distribution, and execute R packages using a variety of data platform options.
The Microsoft data platform now supports the integration of analytics into your on-premises solutions by using R scripts. This course, Getting Started with R in the Microsoft Data Platform, explores the various options available across the data platform for using R. After learning how to configure your SQL Server environment to support R, you learn how to implement R scripts as stored procedures, store R predictive models in tables, and configure security for execution of R scripts. Next, you learn how to execute R scripts to get, transform, or score data using Integration Services and Power BI. Finally, you learn how to add R visualizations into Reporting Services and Power BI reports. By the end of this course, you will know how to integrate R into your Microsoft data platform workflows.
Stacia Misner Varga is a consultant, instructor, author, mentor, BI Partner for SQLSkills, and principal of Data Inspirations specializing in Microsoft business intelligence technologies for over 10 years. She is a frequent speaker at the PASS Summit, IT/Dev Connections
conferences, and various SQL Saturday and Microsoft-related events
Course Overview Hi everyone, my name is Stacia Varga and welcome to my course Getting Started with R in the Microsoft Data Platform. I'm a consultant, classroom instructor, and author of several technical books, and I work at Data Inspirations, a company I founded way back in 2006. R is a popular language for business analysts and data scientists and although it's been around for 20 years, it was only relatively recently introduced into the Microsoft data platform, in 2016. This course explains how to take advantage of the features related to R that are now available in the Microsoft data platform, from the SQL Server database engine to Integration Services and Power BI. Some of the major topics that we are going to cover include getting the development and server environments ready to use with SQL Server, using the RevoScaleR functions that are provided in the Microsoft distribution of R, executing R scripts by calling T-SQL stored procedures, creating predictive models using data from SQL Server and sing them to score data, and visualizing data with R functions and reporting services and Power BI. By the end of this course you'll know how to adapt your own R scripts for obtaining, transforming, analyzing, and visualizing data for use in the SQL Server and Power BI environments. Which means, before beginning the course you should be familiar with developing R scripts. Some general familiarity with SQL Server Integration Services, Reporting Services, and Power BI is also helpful, although you do not need to be an expert in these tools. You can find many complimentary courses here at Pluralsight to fill in any gaps in your knowledge of these technologies. Now I hope you'll join me on this journey Getting Started With R in the Microsoft Data Platform at Pluralsight.