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MDX with Microsoft SQL Server 2008 R2 Analysis Services Cookbook

More Information
Learn
  • Create time-aware calculations (relative to the current date)
  • Create context-aware calculations (relative to members on axes)
  • Implement business-related calculations like forecasting, allocation of values and ABC analysis
  • Calculate various percentages, averages, and ranks
  • Work with related members (on the same and other dimensions)
  • Combine MDX with utility dimensions
  • Implement error handling
  • Implement AND, OR, NOT logic
  • Conditionally format your MDX calculations
  • Optimize, dissect, and debug MDX calculations and queries
  • Capture MDX generated by SSAS front-ends
  • Register SSAS-related assemblies and use stored procedures in them
About

Microsoft SQL Server is an enterprise database platform that contains a multitude of technologies, Analysis Services being one of them. SQL Server Analysis Services (SSAS) provides OLAP and data mining capabilities and allows users to analyze multidimensional data stored in cubes using the MDX query language.

This cookbook contains over 80 practical, task-based recipes that show how Microsoft SQL Server 2008 R2 Analysis Services solutions can be taken further by enriching them with high-performance MDX calculations and flexible MDX queries.

Packed with immediately usable, real-world recipes, the book starts with elementary techniques that lay the foundation for designing further MDX calculations and queries. Here you will find topics such as iterations on a set, Boolean logic, and dissecting and optimizing MDX calculations.

In the first half of the book you will learn how to efficiently work with time, strings, metadata, calculated members and sets in general, and how to implement MDX solutions that are appropriate in a particular context: a time-aware calculation, a concise report, a calculation relative to another. You will also learn how to implement various types of conditional formatting, how to perform typical MDX calculations like ranks, percentages and averages, and year-to-date calculations.

The book then deep dives into topics such as enhancing cube design with utility dimensions, context-aware calculations, and other advanced topics. In this part you will learn how a utility dimension can be of great help, for example when you want to calculate histograms or implement time-based calculations. The advanced topics also cover parent-child hierchies, recursion, random values, and complex sorts.

Features
  • Enrich your BI solutions by implementing best practice MDX calculations
  • Master a wide range of time-related, context-aware, and business-related calculations
  • Enhance your solutions by combining MDX with utility dimensions
  • Become skilled in making reports concise
  • Learn how to optimize, dissect, and debug your MDX calculations
  • Maximize your learning with detailed explanations following each solution
  • Packed with practical, hands-on cookbook recipes, illustrating the techniques to enrich your Business Intelligence solutions
Page Count 480
Course Length 14 hours 24 minutes
ISBN 9781849681308
Date Of Publication 8 Aug 2011

Authors

Tomislav Piasevoli

Tomislav Piasevoli is a Business Intelligence (BI) specialist with years of experience working with Microsoft SQL Server Analysis Services (SSAS). He successfully implemented many still-in-use BI solutions, helped numerous people on MSDN forum, achieved the highest certification for SQL Server Analysis Services (SSAS Maestro), and shared his expertise in form of MDX cookbooks.

Tomislav currently works as a consultant at Piasevoli Analytics company (www.piasevoli.com) together with his brother Hrvoje. They specialize in Microsoft SQL Server Business Intelligence platform, SSAS primarily, and offer their BI skills worldwide.

In addition to his regular work, Tomislav manages to find the time to present at local conferences or to write an article or two for local magazines. His contribution to the community has been recognized by Microsoft honoring him with the Most Valuable Professional (MVP) award for six consecutive years (2009-2015).