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Lakehouse databricks4/3/2023 ![]() If the authentication is successful, you will receive the screen below and can select the tables you want to load in your report. When opening the file, you will be asked for either a token or an AAD authentication. The connection file to be downloaded consists of a pbix file containing the connection info needed for the specific cluster/SQL Warehouse you selected. When you are in the SQL view you will only get the option to connect to an SQL Warehouse. When you are in the Machine Learning or Data Science & Engineering view you have the choice out of two types of connections: When clicking on the Microsoft Power BI option, you will be prompted to download a connection file. In the ‘BI and visualization’ section Databricks offers a connection to Power BI. Connect using Partner Connect in Databricksĭatabricks Partner Connect is a portal that allows for easy connection with Databricks partners. Both features rely on Databricks SQL which is only available in the Databricks Premium Plan. An Azure Databricks Cluster or Databricks SQL WarehouseĪdditionally, if you want to use features such as Partner Connect or you want to enable incremental refresh in Power BI on Databricks tables you will need a Premium Plan for your Azure Databricks account.Access token for Databricks or AAD access to Databricks.Installation of Power BI Desktop of 2.85.681.0 or above.The following prerequisites are needed to be able to connect Power BI to Databricks. We will describe how Power BI can connect directly to the delta tables in Databricks. In this article, we will focus on Databricks Lakehouse, which offers a Lakehouse implementation based on the delta format. Recently, there started to arise different ways of providing a direct connection from front-end tools to the Data Lake. This often caused duplication of the data which is illustrated in the schema below. A Data Warehouse was needed to expose your data in the Data Lake to front-end tools like Power BI. This was not possible (not in a performant way anyways) a couple of years ago. One of the required features of a Lakehouse is that BI tools can connect directly to the data in the Data Lake. Briefly explained, all your data of your company is kept in the Data Lake without a need for a Data Warehouse, but with the advantages and features that were typically associated with traditional Data Warehouses in the past. Over the last months, the concept of a Lakehouse has become more prevalent within organizations.
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