Dimensional modeling in 2018

It is quite common to update your skills in a product, Power BI for example. It is not so common to re-validate concepts or theory very often. For example "Joins are performance heavy", or "Data warehouses need surrogate keys". Usually these things don't change very often. Still it is important to update your view on

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Organizations that start with Power BI often ask me "Jesse, how do you go about development, test and production environments when using Power BI?". I have decided to write about my experiences - I have been implementing Power BI since the beginning of the product - and share you my ideas. The reason why this
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The Enterprise Tabular model

In Microsoft BI, a tabular model is often the way to go. OLAP gets more and more often replaced by Tabular cubes and Power BI models. However, it's really hard to create a model that covers the whole enterprise. In this post I propose a solution for doing just that in a simple way. In
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5 lessons for organizations that use Power BI

The last two and a half years I have been helping organizations adopt and implement Power BI. With the right approach Power BI can be a huge success. But if you are not sure how to do it right, you might make the data landscape messier and more confusing. Here are the 5 simple lessons
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Azure Analysis Services on top of Azure Data Lake?

Recently I have seen implementations of Analysis Services that go directly to the Data Lake. In order to speed things up and to remove redundancy, there is no relational data storage even if the data is relational in nature. Data is persisted raw in the lake and goes directly to a user friendly data model
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In an enterprise environment there are various ways of how users can interact with data using Power BI. Some users have a need for consuming pre-defined management reports, while other users wish to build their own datasets and create their own analysis.  In discussion with colleagues we came up with five types of business users
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The differences between Power BI Service and Power BI Report Server are well documented in the Planning a Power BI Enterprise Deployment whitepaper and the online documentation. The whitepaper by Chris Webb and Melissa Coates also includes a comparison between Power BI Service and Power BI Report Server (Jun 2017 version). Because this is a
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Slides of CI for BI session

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Tonight I presented a 1-hour session about applying Continuous Integration at the Microsoft Advanced Analytics User Group Belgium. The session was an "espresso version" from the 2-day course, skipping things like Git, setting up VSTS build environments etc. Great fun to be here, thanks for the invite! The slides can be found at https://bit.ly/2LMlQ6v. Want
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Three ways to build SSIS projects in VSTS
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When setting up Continuous Integration in VSTS, chances are you’ll run into the problem of building SSIS projects: where database projects are building just fine, SSIS just doesn’t build out-of-the-box (at least not at the time of writing). Here’s how you fix it:
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If you want to set up Continuous Integration using Visual Studio Team Services (VSTS) in order to build your BI projects, you'll run into the fact that some project types can be built and released out-of-the-box by MSBuild, while others need specific logic to create or deploy artifacts. In this post, I share my current
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