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Tabular modeling in Microsoft SQL server analysis services - MARCO RUSSO - ALBERTO FERRARI

Tabular modeling in Microsoft SQL server analysis services

MARCO RUSSO
ALBERTO FERRARI

 
$74.99

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LEARN MORE Summary

Build agile and responsive business intelligence solutions

Create a semantic model and analyze data using the tabular model in SQL Server 2016 Analysis Services to create corporate-level business intelligence (BI) solutions. Led by two BI experts, you will learn how to build, deploy, and query a tabular model by following detailed examples and best practices. This hands-on book shows you how to use the tabular model’s in-memory database to perform rapid analytics—whether you are new to Analysis Services or already familiar with its multidimensional model.

Discover how to:

• Determine when a tabular or multidimensional model is right for your project

• Build a tabular model using SQL Server Data Tools in Microsoft Visual Studio 2015

• Integrate data from multiple sources into a single, coherent view of company information

• Choose a data-modeling technique that meets your organization’s performance and usability requirements

• Implement security by establishing administrative and data user roles

• Define and implement partitioning strategies to reduce processing time

• Use Tabular Model Scripting Language (TMSL) to execute and automate administrative tasks

• Optimize your data model to reduce the memory footprint for VertiPaq

• Choose between in-memory (VertiPaq) and pass-through (DirectQuery) engines for tabular models

• Select the proper hardware and virtualization configurations

• Deploy and manipulate tabular models from C# and PowerShell using AMO and TOM libraries

Details
Price: $74.99
Category:
Author:  MARCO RUSSO
ALBERTO FERRARI
Title: Tabular modeling in Microsoft SQL server analysis services
Release date: 12 April 2017
Editor: MICROSOFT PRESS
Collection: PAPERBACK
Pages: 512
Subject: Général
ISBN: 9781509302772 (1509302778)
Renaud-Bray Reference: 12501443
Item nb: 2274454

Tabular modeling in Microsoft SQL server analysis services , RUSSO, MARCO*FERRARI, ALBERTO
© MICROSOFT PRESS 2017
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