![]() ![]() The various technologies are of different vintages and based on slightly different paradigms. Dimensional technology is used in business intelligence scenarios and data lake technology is used for open source big data workloads Relational technology is used for data warehouses and data marts. The need for the feature stems from what is frankly an awkward situation: in the world of analytics, three main categories of technology coexist, often cooperatively but sometimes chaotically. ![]() The Analytics Technology Hodgepodgeīefore getting to the details of the datamart feature, let’s take a look at what has motivated Microsoft to deliver it. The announcement also brings with it a major usability dividend, by delivering a full-fledged Power BI authoring experience to users of non-Windows platforms. This initiative integrates, and bridges the gap between, Power BI’s own analytics engine and Microsoft’s Azure SQL Database technology, derived from its flagship SQL Server relational database. Today, at its developer-oriented Build conference, Microsoft’s Power BI team is announcing a new self-service, low-code “datamart” feature for Power BI Premium.
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