Explore Geographical Relationships in Databricks Data with Power Map

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Databricks ODBC Driver

The Databricks ODBC Driver is a powerful tool that allows you to connect with live data from Databricks, directly from any applications that support ODBC connectivity.

Access Databricks data like you would a database - read, write, and update through a standard ODBC Driver interface.



Create data visualizations with Databricks data in Power Map.

The CData ODBC Driver for Databricks is easy to set up and use with self-service analytics solutions like Power BI: Microsoft Excel provides built-in support for the ODBC standard. This article shows how to load the current Databricks data into Excel and start generating location-based insights on Databricks data in Power Map.

Create an ODBC Data Source for Databricks

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.

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).

When you configure the DSN, you may also want to set the Max Rows connection property. This will limit the number of rows returned, which is especially helpful for improving performance when designing reports and visualizations.

When you configure the DSN, you may also want to set the Max Rows connection property. This will limit the number of rows returned, which is especially helpful for improving performance when designing reports and visualizations.

Import Databricks Data into Excel

You can import data into Power Map either from an Excel spreadsheet or from Power Pivot. For a step-by-step guide to use either method to import Databricks data, see the "Using the ODBC Driver" section in the help documentation.

Geocode Databricks Data

After importing the Databricks data into an Excel spreadsheet or into PowerPivot, you can drag and drop Databricks entities in Power Map. To open Power Map, click any cell in the spreadsheet and click Insert -> Map.

In the Choose Geography menu, Power Map detects the columns that have geographic information. In the Geography and Map Level menu in the Layer Pane, you can select the columns you want to work with. Power Map then plots the data. A dot represents a record that has this value. When you have selected the geographic columns you want, click Next.

Select Measures and Categories

You can then simply select columns: Measures and categories are automatically detected. The available chart types are Stacked Column, Clustered Column, Bubble, Heat Map, and Region.