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Microsoft OLAP Blog by Hilmar Buchta Microsoft OLAP Blog by Hilmar Buchta Hadoop | HDInsight | Power Query Preview As in my previous post I’d like to import a bunch of csv-files from a Hadoop cluster into a single Power Pivot table using Power Query. In the last post I used the basic built-in functionality for this task. In this post, I will create a custom function to perform the load. Using a custom function allows you to have more control over the import process. For example, you could easily import different file formats using this way.
In this article we will show how to take typical, everyday MDX and optimize it by simply following advices of MDX Studio Analyzer. As a starting point, I will take “Product Volatility” example as published by Thomas Ivarson in his blog. It is a perfect example, because Thomas took a real business problem, and implemented it using very clean and straightforward MDX, just like I expect many MDX practitioners do. This MDX can be optimized, but some of these optimizations might not be obvious. Microsoft OLAP by Mosha Pasumansky Microsoft OLAP by Mosha Pasumansky
Microsoft Analysis Services Microsoft SQL Server Analysis Services, SSAS, is an online analytical processing (OLAP), data mining and reporting tool in Microsoft SQL Server. SSAS is used as a tool by organizations to analyze and make sense of information possibly spread out across multiple databases, or in disparate tables. Microsoft has included a number of services in SQL Server related to business intelligence and data warehousing. Microsoft Analysis Services
Define attribute relationships as 'Rigid' where appropriate