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Microsoft SQL Server 2014 Business Intelligence Development Beginner's Guide

You're reading from   Microsoft SQL Server 2014 Business Intelligence Development Beginner's Guide Get to grips with Microsoft Business Intelligence and Data Warehousing technologies using this practical guide

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Product type Paperback
Published in May 2014
Publisher
ISBN-13 9781849688888
Length 350 pages
Edition Edition
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Authors (2):
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Reza Rad Reza Rad
Author Profile Icon Reza Rad
Reza Rad
Abolfazl Radgoudarzi Abolfazl Radgoudarzi
Author Profile Icon Abolfazl Radgoudarzi
Abolfazl Radgoudarzi
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Table of Contents (19) Chapters Close

Microsoft SQL Server 2014 Business Intelligence Development Beginner's Guide
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
1. Data Warehouse Design 2. SQL Server Analysis Services Multidimensional Cube Development FREE CHAPTER 3. Tabular Model Development of SQL Server Analysis Services 4. ETL with Integration Services 5. Master Data Management 6. Data Quality and Data Cleansing 7. Data Mining – Descriptive Models in SSAS 8. Identifying Data Patterns – Predictive Models in SSAS 9. Reporting Services 10. Dashboard Design 11. Power BI 12. Integrating Reports in Applications Index

Summary


This chapter provided some examples of working with SSRS reports through web, Windows, and even Metro applications. The main component that we discussed in this chapter was ReportViewer. ReportViewer provides the ability to work with SSRS reports that reside in the report server through the remote processing mode. On the other hand, this component provides the ability to design and create reports in the client application with client data sources that connect to databases through a local processing mode. ReportViewer also provides an extensive functionality for working with report objects from C# or VB.NET code behind that helps in creating a customized application with an SSRS frontend for the BI system.

In the final section of this chapter, you learned how to work with data mining models and apply data mining models on existing datasets to produce a prediction result set from the .NET application.

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