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Tabular Modeling with SQL Server 2016 Analysis Services Cookbook

You're reading from   Tabular Modeling with SQL Server 2016 Analysis Services Cookbook Create better operational analytics for your users with these business solutions

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Product type Paperback
Published in Jan 2017
Publisher Packt
ISBN-13 9781786468611
Length 372 pages
Edition 1st Edition
Languages
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Author (1):
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Derek Wilson Derek Wilson
Author Profile Icon Derek Wilson
Derek Wilson
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Toc

Table of Contents (12) Chapters Close

Preface 1. Introduction to Microsoft Analysis Services Tabular Mode FREE CHAPTER 2. Setting up a Tabular Mode Environment 3. Tabular Model Building 4. Working in Tabular Models 5. Administration of Tabular Models 6. In-Memory Versus DirectQuery Mode 7. Securing Tabular Models 8. Combining Tabular Models with Excel 9. DAX Syntax and Calculations 10. Working with Dates and Time Intelligence 11. Using Power BI for Analysis

Introduction


When developing a tabular model, you have two primary choices for where and how the data is stored and accessed from end user tools. Tabular models are unlike SQL Server Analysis Services Multidimensional models, which only store all data to disk. Tabular models by default store data in memory with an option for storing data to disk when appropriate. By storing the data in memory there is faster query performance since there is no disk I/O for retrieving data results. Modeling can be accomplished in visual studio and does not require a full data transformation or load process which speeds up the time to develop and deploy the model to production. This chapter focuses on the available storage modes for tabular models, in-memory mode and DirectQuery mode. You will learn how each mode operates and best practices for choosing the appropriate mode for your solution.

Understanding query modes

There are two unique values that you can choose to implement the query mode in your model....

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