Model Context Protocol (MCP) finally gives AI models a way to access the business data needed to make them really useful at work. CData MCP Servers have the depth and performance to make sure AI has access to all of the answers.
Try them now for free →
Import Databricks Data into Microsoft Power Query
The CData API Server offers standards-based Web service endpoints that allow a variety of applications to access Databricks data. In this article, you will use the OData format to import Databricks data into Microsoft Power Query.
The API Server, when paired with the ADO.NET Provider for Databricks (or any of 200+ other ADO.NET Providers), enables you to use Web services to connect to and query Databricks data. This article details how to import an OData feed of Databricks data into Microsoft Power Query.
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).
You can then choose the Databricks entities you want to allow the API Server access to by clicking Settings -> Resources.
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.
Connect to Databricks Data from Power Query
Follow the steps below to import tables that can be refreshed on demand:
- Configure the API Server to use a version of the OData protocol that is recognized by Power Query. In the API Server administration console, click Settings -> Server and change the value of the Default Version property to 3.0.
-
From the ribbon in Excel, click Power Query -> From Other Data Sources -> From OData Feed, and enter the OData URL:
https://your-server:8032/api.rsc
-
In the next step of the wizard, define authentication credentials and set privacy levels. Select Basic authentication and enter the credentials for a user authorized to make requests. Specify the Username field and enter the user's authtoken in the Password field.
To change the authentication scheme that Power Query will use, click Power Query -> Data Source Settings. Select the OData feed from the list and then click Edit Credential. Select the privacy level from the menu on the Data Source Settings page.
-
You can now access Databricks data in Power Query. In the Navigator expand the node for the OData feed, right-click a table, and click Edit to open the Query Editor. This will display the table data.
