Please use this identifier to cite or link to this item: https://lib.hpu.edu.vn/handle/123456789/26040
Title: Beginning SQL Server R Services Analytics for Data Scientists
Authors: Beard, Bradley
Keywords: Database Management
Statistics
Computing
Statistics Programs
Issue Date: 2016
Abstract: 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 is for any level of database administrator or developer, but specifically its for those developers with the need to develop powerful data analytics applications quickly. Seasoned R developers will appreciate the book for its robust learning pattern, using visual aids in combination with properties explanations and scenarios. Beginning SQL Server R Services is the perfect “new hire” gift for new database developers in any organization.
URI: https://lib.hpu.edu.vn/handle/123456789/26040
Appears in Collections:Technology

Files in This Item:
File Description SizeFormat 
0950_Beginning_SQL_Server_R_Services_Analytics_for_Data_Scientists.pdf
  Restricted Access
22.06 MBAdobe PDFThumbnail
View/Open Request a copy


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.