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Access Databricks Data as OData Feeds in Tableau
Use the Tableau Desktop business intelligence tool to connect to Databricks data using the API Server.
The CData API Server, when paired with the ADO.NET Provider for Databricks (or any of 200+ other ADO.NET Providers), provides Databricks data as OData Web services. This article will explain how to use the API Server to provide the underlying connectivity to Databricks data in Tableau's business intelligence tool.
About Databricks Data Integration
Accessing and integrating live data from Databricks has never been easier with CData. Customers rely on CData connectivity to:
- Access all versions of Databricks from Runtime Versions 9.1 - 13.X to both the Pro and Classic Databricks SQL versions.
- Leave Databricks in their preferred environment thanks to compatibility with any hosting solution.
- Secure authenticate in a variety of ways, including personal access token, Azure Service Principal, and Azure AD.
- Upload data to Databricks using Databricks File System, Azure Blog Storage, and AWS S3 Storage.
While many customers are using CData's solutions to migrate data from different systems into their Databricks data lakehouse, several customers use our live connectivity solutions to federate connectivity between their databases and Databricks. These customers are using SQL Server Linked Servers or Polybase to get live access to Databricks from within their existing RDBMs.
Read more about common Databricks use-cases and how CData's solutions help solve data problems in our blog: What is Databricks Used For? 6 Use Cases.
Getting Started
Set Up the API Server
Follow the steps below to begin producing secure Databricks OData services:
Deploy
The API Server runs on your own server. On Windows, you can deploy using the stand-alone server or IIS. On a Java servlet container, drop in the API Server WAR file. See the help documentation for more information and how-tos.
The API Server is also easy to deploy on Microsoft Azure, Amazon EC2, and Heroku.
Connect to Databricks
After you deploy the API Server and the ADO.NET Provider for Databricks, provide authentication values and other connection properties needed to connect to Databricks by clicking Settings -> Connections and adding a new connection in the API Server administration console.
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 connection, 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.
You can then choose the Databricks entities you want to allow the API Server to access by clicking Settings -> Resources.
Additionally, click Settings -> Server and set the Default Format to XML (Atom) for compatibility with Tableau.
Authorize API Server Users
After determining the OData services you want to produce, authorize users by clicking Settings -> Users. The API Server uses authtoken-based authentication and supports the major authentication schemes. Access can also be restricted based on IP address; by default only connections to the local machine are allowed. You can authenticate as well as encrypt connections with SSL.
Create Real-Time Databricks Data Visualizations
Follow the steps below to create data visualizations based on the remote Databricks data:
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In Tableau, select 'Connect to data'. In the 'On a server' section, click OData.
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In the resulting wizard, enter the URL of the OData endpoint for the API Server. Append the name of the table you want to access to the OData entry URL. For example:
https://your-server/api.rsc/Customers -
Select the
'Use a Username and Password' option and enter the username and password of a user who has access to the API Server.
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Tableau uses the table metadata exposed by the API Server to detect dimension and measure columns.
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To view the Databricks data, right-click under the table name in the Data section of the dashboard and select the View Data option. The Databricks data will appear in Tableau.
