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Power BI + Azure Data Lake = Velocity & Scale to Your Analytics
Bring data together from various web, cloud and on-premise data sources and rapidly drive insights. The biggest challenge Business Analysts and BI developers have is the need to ingest and process medium to large data sets on a regular basis. They spend the most time gathering the data rather than analyzing the data. Power BI Dataflow, the Azure Data Lake Storage Gen 2 makes this a very intuitive, and result based exercise. Prior to Power BI Data flow data prepping was restricted to the Power BI Desktop. Power BI Desktop. Power BI Desktop users use Power Query to connect to data, ingest it, and transform it before it lands in the dataset. There are some limitations to the Power BI Desktop data prep. The relevant data is self- contained in individual data sets. Difficulty to reuse data transformation logic – restricted to the data set that is being prepared.
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