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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 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

Storage modes


Data of the tabular model will be stored in different modes called storage modes. There are two main storage modes in tabular: In-Memory and DirectQuery. The difference between these storage modes is based on the location of the stored data. In-Memory stores data in memory and DirectQuery stores data in the SQL Server database.

In-Memory is the default and recommended storage mode for the tabular model because it loads all the data into the memory and it responds to queries very quickly. Tabular models that work with In-Memory are also accessible from MDX client tools such as Excel Services. All the functionalities of DAX is supported for the In-Memory mode.

DirectQuery stores data into the SQL Server database. It is much slower than In-Memory, but as memory restrictions are much more than disk restrictions, this mode is helpful when the tabular model contains a large dataset that cannot fit into the system's memory (when you try to process the model, you may get an error if...

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