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SQL Server 2016 Reporting Services Cookbook

You're reading from   SQL Server 2016 Reporting Services Cookbook Your one-stop guide to operational reporting and mobile dashboards using SSRS 2016

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Product type Paperback
Published in Nov 2016
Publisher Packt
ISBN-13 9781786461810
Length 596 pages
Edition 1st Edition
Languages
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Authors (2):
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 Priyankara Priyankara
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Priyankara
Robert Cain Robert Cain
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Robert Cain
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Table of Contents (18) Chapters Close

SQL Server 2016 Reporting Services Cookbook
Credits
About the Authors
About the Reviewers
www.Packtpub.com
Preface
1. Getting It Ready – Configuring Reporting Services FREE CHAPTER 2. Authoring Reports with SQL Server Data Tools 3. Advanced Report Authoring with SQL Server Data Tools 4. Authoring Reports with Report Builder 5. Improving User Experience – New Designing and Visualization Enhancements 6. Authoring Reports with the Mobile Report Publisher 7. Consuming Reports – Report Access Enhancement 8. Reporting Solutions for BI – Integration 9. SharePoint Integration 10. Administering and Managing Reporting Services 11. Securing Reports in Reporting Services 12. Custom Programming and Integration to .NET Applications

Integrating R with Reporting Services


Without a doubt, R is the most popular language among data statisticians and data miners for statistical computing and graphics. It is an open-source language and it provides highly extensible statistical and graphical techniques such as time series analysis, classifications and clustering for data analysis. R is not a new language; its history goes back to 1992. However, the beta version was released in 2000 but R became more popular with a high demand in recent years.

Realizing the importance of R, Microsoft introduced SQL Server R Services with SQL Server 2016. It extends the SQL Server platform, integrating R language with SQL Server, allowing us to analyse data in the database using richest and powerful R language without taking data outside the database. This integration makes it possible to use TSQL and call the R runtime using packages created by the community for data analysis, prediction and for making visuals.

We are talking about Reporting...

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