Author Power BI Reports on Real-Time Databricks Data

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Databricks Power BI Connector

The fastest and easiest way to connect Power BI to Databricks data. Includes comprehensive high-performance data access, real-time integration, extensive metadata discovery, and robust SQL-92 support.



Use the CData Power BI Connector for Databricks to visualize Databricks data in Power BI.

CData Power BI Connectors provide self-service integration with Microsoft Power BI. The CData Power BI Connector for Databricks links your Power BI reports to real-time Databricks data. You can monitor Databricks data through dashboards and ensure that your analysis reflects Databricks data in real time by scheduling refreshes or refreshing on demand. This article details how to use the Power BI Connector to create real-time visualizations of Databricks data in Microsoft Power BI Desktop.

If you are interested in publishing reports on Databricks data to PowerBI.com, refer to our other Knowledge Base article.

Collaborative Query Processing

The CData Power BI Connectors offer unmatched performance for interacting with live Databricks data in Power BI due to optimized data processing built into the connector. When you issue complex SQL queries from Power BI to Databricks, the connector pushes supported SQL operations, like filters and aggregations, directly to Databricks and utilizes the embedded SQL Engine to process unsupported operations (often SQL functions and JOIN operations) client-side. With built-in dynamic metadata querying, you can visualize and analyze Databricks data using native Power BI data types.

Connect to Databricks as a Power BI Data Source

Installing the Power BI Connector creates a DSN (data source name) called CData Power BI Databricks. This the name of the DSN that Power BI uses to request a connection to the data source. Configure the DSN by filling in the required connection properties.

You can use the Microsoft ODBC Data Source Administrator to create and configure the DSN: From the Start menu, enter "ODBC Data Sources" and select the CData PowerBI REST DSN. Ensure that you run the version of the ODBC Administrator that corresponds to the bitness of your Power BI Desktop installation (32-bit or 64-bit). You can also use run the ConfigureODBC.exe tool located in the installation folder for the connector.

To connect to a Databricks cluster, set the properties as described below.

Note: The needed values can be found in your Databricks instance by navigating to Clusters, and selecting the desired cluster, and selecting the JDBC/ODBC tab under Advanced Options.

  • Server: Set to the Server Hostname of your Databricks cluster.
  • HTTPPath: Set to the HTTP Path of your Databricks cluster.
  • Token: Set to your personal access token (this value can be obtained by navigating to the User Settings page of your Databricks instance and selecting the Access Tokens tab).

Query Databricks Tables

Follow the steps below to build a query to pull Databricks data into the report:

  1. Open Power BI Desktop and click Get Data -> Other -> CData Databricks.
  2. Select CData PowerBI Databricks in the Data Source Name menu and select a data connectivity mode:
    Select Import if you want to import a copy of the data into your project. You can refresh this data on demand.
    Select DirectQuery if you want to work with the remote data.
  3. Select tables in the Navigator dialog.
  4. In the Query Editor, you can customize your dataset by filtering, sorting, and summarizing Databricks columns. Click Edit to open the query editor. Right-click a row to filter the rows. Right-click a column header to perform actions like the following:

    • Change column data types
    • Remove a column
    • Group by columns

    Power BI detects each column's data type from the Databricks metadata retrieved by the connector.

    Power BI records your modifications to the query in the Applied Steps section, adjusting the underlying data retrieval query that is executed to the remote Databricks data. When you click Close and Apply, Power BI executes the data retrieval query.

    Otherwise, click Load to pull the data into Power BI.

Create Data Visualizations

After pulling the data into Power BI, you can create data visualizations in the Report view by dragging fields from the Fields pane onto the canvas. Follow the steps below to create a pie chart:

  1. Select the pie chart icon in the Visualizations pane.
  2. Select a dimension in the Fields pane: for example, City.
  3. Select a measure in the Fields pane: for example, CompanyName.

You can change sort options by clicking the ellipsis (...) button for the chart. Options to select the sort column and change the sort order are displayed.

You can use both highlighting and filtering to focus on data. Filtering removes unfocused data from visualizations; highlighting dims unfocused data. You can highlight fields by clicking them:

You can apply filters at the page level, at the report level, or to a single visualization by dragging fields onto the Filters pane. To filter on the field's value, select one of the values that are displayed in the Filters pane.

Click Refresh to synchronize your report with any changes to the data.

At this point, you will have a Power BI report built on top of live Databricks data. Learn more about the CData Power BI Connectors for Databricks and download a free trial from the Databricks Power BI Connector page. Let our Support Team know if you have any questions.