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With built-in support for ODBC on Microsoft Windows, the CData ODBC Drivers provide self-service integration with self-service analytics tools such as Microsoft Power BI. The CData ODBC Driver for Exa links your Power BI reports to operational Exa data. You can monitor Exa data through dashboards and ensure that your analysis reflects Exa data in real time by scheduling refreshes or refreshing on demand. This article details how to use the ODBC driver to create real-time visualizations of Exa data in Microsoft Power BI Desktop and then upload to Power BI.
The CData ODBC Drivers offer unmatched performance for interacting with live Exa data in Power BI due to optimized data processing built into the driver. When you issue complex SQL queries from Power BI to Exa, the driver pushes supported SQL operations, like filters and aggregations, directly to Exa 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 Exa data using native Power BI data types.
If you have not already, first specify connection properties in an ODBC DSN (data source name). This is the last step of the driver installation. You can use the Microsoft ODBC Data Source Administrator to create and configure ODBC DSNs.
π Configure ODBC DSN. (Salesforce is shown.)
Start by setting the Profile connection property to the location of the Exa Profile on disk (e.g. C:\profiles\Exa.apip). Next, set the ProfileSettings connection property to the connection string for Exa (see below).
Visit dashboard.exa.ai, sign in or create an account, and generate an API key from your API settings.
After creating an ODBC DSN, follow the steps below to connect to the Exa ODBC DSN from Power BI Desktop:
Click Transform Data to edit the query. The table you imported is displayed in the Power Query Editor. In the Power Query Editor, you can enrich your local copy of Exa data with other data sources, pivot Exa columns, and more. Power BI detects each column's data type from the Exa metadata retrieved by the driver.
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 Exa data. When you click Close and Apply, Power BI executes the data retrieval query.
Otherwise, click Load to pull the data into Power BI.
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 (Salesforce shown):
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:
π A highlighted account in a pie chart. (Salesforce is shown.)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.
π Accounts and Annual Revenue filtered by Industry. (Salesforce is shown.)Click Refresh to synchronize your report with any changes to the data.
If you are interested in connecting to your Exa data from Microsoft Power BI, or any applications that support ODBC connectivity, download a free, 30-day trial of the CData ODBC Driver for Exa. As always, our world-class support team is ready to answer any questions you may have.
Connect to live data from Exa with the API Driver
Connect to Exa