Learn how to develop powerful data analytics applications quickly for SQL Server database administrators and developers. Organizations will be able to sift data and derive the business intelligence needed to drive business decisions and profit. The addition of R to SQL Server 2016 places a powerful analytical processor into an environment most developers are already comfortable with – Visual Studio. This book walks even the newest of users through the creation process of a powerful R-language tool set for use in analyzing and reporting on your data.
As a SQL Server database administrator or developer, it is sometimes difficult to stay on the bleeding edge of technology. Microsoft’s addition of R to SQL Server 2016 is sure to be a game-changer, and the language will certainly become an integral part of future releases. R is in fact widely used today in statistical and related applications, and its use is only growing. Beginning SQL Server R Services helps you jump on board this important trend by providing good examples with detailed explanations of the WHY and not just the HOW.
Walks you through setup and installation of SQL Server R Services.
Explains the basics of working with R Tools for Visual Studio.
Provides a road map to successfully creating custom R code.
Beginning SQL Server R Services sets a new standard for SQL Server administrators and developers, providing robust, concise definitions and explanations for the newest addition to SQL Server’s already impressive toolset, the R language. R is the language used worldwide by data scientists and quantitative analysts to sift data and derive business intelligence needed to drive business decisions and profit. R's addition to SQL Server makes it a must-know language for any developer or database administrator working on the SQL Server platform, and this book provides that audience with what they need to keep up with this important addition to their toolset. Covers brand new support in SQL Server for the R language Appeals to data scientists and quantitative analysts who rely upon R for analyzing data and driving business decisions Provides examples in SQL Server R Services, and in R Tools for Visual Studio