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MDX with SSAS 2012 Cookbook

Sherry Li Tomislav Piasevoli

$142.95   $114.13

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English
Packt Publishing Limited
02 April 2023
This book is written in a recipe-based style packed full of practical tips and techniques to help you analyse multidimensional data stored in SSAS 2012 cubes. If you need to master MDX queries in SSAS, then this book is for you!

If you are a Microsoft SQL Server Analysis Services developer and want to improve your solutions using MDX, then this book is for you. This book is also an essential resource for report developers who need to access the multidimensional cubes through the MDX language. The book assumes you have some basic working knowledge of MDX and a basic understanding of dimensional modelling and cube design.
By:   ,
Imprint:   Packt Publishing Limited
Country of Publication:   United Kingdom
Dimensions:   Height: 235mm,  Width: 191mm,  Spine: 21mm
Weight:   719g
ISBN:   9781849689601
ISBN 10:   1849689601
Pages:   420
Publication Date:  
Audience:   Professional and scholarly ,  Undergraduate
Format:   Undefined
Publisher's Status:   Active

Sherry Li has worked with Microsoft SQL Server Business Intelligence stacks for many years. She lives in Phoenix, Arizona where she works for a major financial organization with responsibilities in implementing data warehousing and BI solutions. She specializes in ETL, dimensional modeling, cube design, and reporting in MDX and T-SQL. Sherry Li maintains her blog at bisherryli.com. Tomislav Piasevoli (tomislav@piasevoli.com) is a Business Intelligence Specialist with years of experience in Microsoft SQL Server Analysis Services (SSAS). He lives in Croatia and works for SoftPro Tetral d.o.o., a company specializing in development of SSAS frontends and implementation of BI solutions. His main interests are dimensional modeling, cube design, and MDX about which he blogs at http://tomislav.piasevoli.com. Tomislav also writes articles and speaks at regional conferences and user groups. For his contribution to the community, Microsoft awarded him with the Microsoft SQL Server MVP title.

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