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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 Continue reading.. 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 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 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 Recently I have seen implementations of An*lysis 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 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 an*lysis.  In discussion with colleagues we came up with five types of business users The differences between Power BI Service and Power BI Report Server are well docu*ented in the Planning a Power BI Enterprise Deployment whitepaper and the online docu*entation. The whitepaper by Chris Webb and Melissa Coates also includes a comparison between Power BI Service