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MDX with Microsoft SQL Server 2016 Analysis Services Cookbook

You're reading from   MDX with Microsoft SQL Server 2016 Analysis Services Cookbook Over 70 practical recipes to analyze multi-dimensional data in SQL Server 2016 Analysis Services cubes

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Product type Paperback
Published in Nov 2016
Publisher Packt
ISBN-13 9781786460998
Length 586 pages
Edition 3rd Edition
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Authors (2):
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Tomislav Piasevoli Tomislav Piasevoli
Author Profile Icon Tomislav Piasevoli
Tomislav Piasevoli
Sherry Li Sherry Li
Author Profile Icon Sherry Li
Sherry Li
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Toc

Table of Contents (11) Chapters Close

Preface 1. Elementary MDX Techniques FREE CHAPTER 2. Working with Sets 3. Working with Time 4. Concise Reporting 5. Navigation 6. MDX for Reporting 7. Business Analyses 8. When MDX is Not Enough 9. Metadata - Driven Calculations 10. On the Edge

Getting the summary


The advantages of a multi-dimensional cube are that the data is pre-aggregated and that there is a lot of metadata that we can use for calculations. There is no need to re-aggregate data at the query time, and we have pre-defined calculation formulas in the cube. Not to mention that all metrics are formatted in the cube. Reporting tools should take advantage of this instead of reinventing the wheel.

It is always a good idea to reply on MDX queries to get the correct aggregation no matter what tool you use, so that the need to aggregate in the reporting tool is eliminated.

Visual totals are totals at the end of a column or row that add up all of the items visible in the column or row. By default, when placing the All member in the query, totals including both visual and non-visual items will be displayed for most pivot tables. For MDX queries that do not show all the items, this default behavior is misleading because we only want the totals to include the visual items.

Getting...

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