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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
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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 FREE CHAPTER 2. SQL Server Analysis Services Multidimensional Cube Development 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

Chapter 7. Data Mining – Descriptive Models in SSAS

So far, you've learned about three main components of a BI system, namely data visualization, consolidation, and modeling. There is another important component in a BI system: data mining. Data mining can be performed in two ways; analysis of the existing data and predictions based on a model fetched from an existing dataset. The concept of analyzing an existing dataset is called the descriptive model. In this chapter, we will discuss the descriptive model. The very next chapter is about prediction with data mining.

Microsoft uses Analysis Services as an engine for data mining models. Each Analysis Services database can contain one or more data mining models. The result of data mining models can be checked with a wide set of diagrams. In this chapter, you will learn about the data mining cycle, data preparation, and descriptive mining models such as the association rule. You will also learn how to solve real-world problems with descriptive...

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