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Integrate with Databricks Data in SnapLogic
Use CData Connect Cloud to connect to and integrate with live Databricks data in SnapLogic.
SnapLogic's iPaaS platform helps organizations automate application, data and cloud integrations. When paired with CData Connect Cloud, SnapLogic gets access to live Databricks data. This article demonstrates how to connect to Databricks using Connect Cloud and integrate with Databricks data in SnapLogic.
CData Connect Cloud provides a pure SQL Server interface for Databricks, allowing you to query data from Databricks without replicating the data to a natively supported database. Using optimized data processing out of the box, CData Connect Cloud pushes all supported SQL operations (filters, JOINs, etc.) directly to Databricks, leveraging server-side processing to return the requested Databricks data quickly.
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
Configure Databricks Connectivity for SnapLogic
Connectivity to Databricks from SnapLogic is made possible through CData Connect Cloud. To work with Databricks data from SnapLogic, we start by creating and configuring a Databricks connection.
- Log into Connect Cloud, click Sources, and then click Add Connection
- Select "Databricks" from the Add Connection panel
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Enter the necessary authentication properties to connect to Databricks.
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).
- Click Create & Test
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Navigate to the Permissions tab in the Add Databricks Connection page and update the User-based permissions.
Add a Personal Access Token
When connecting to Connect Cloud through the REST API, the OData API, or the Virtual SQL Server, a Personal Access Token (PAT) is used to authenticate the connection to Connect Cloud. It is best practice to create a separate PAT for each service to maintain granularity of access.
- Click on the Gear icon () at the top right of the Connect Cloud app to open the settings page.
- On the Settings page, go to the Access Tokens section and click Create PAT.
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Give the PAT a name and click Create.
- The personal access token is only visible at creation, so be sure to copy it and store it securely for future use.
With the connection configured and a PAT generated, you are ready to connect to Databricks data from SnapLogic.
Connect to Databricks from SnapLogic using Connect Cloud
To establish a connection from SnapLogic to CData Connect Cloud, you will need to download the CData Connect Cloud JDBC Driver.
- Open the Integrations page of CData Connect Cloud.
- Search for and select JDBC.
- Download and run the setup file.
- When the installation is complete, the JAR file can be found in the installation directory (inside the lib folder).
After copying the JDBC CData Connect Cloud JAR file, you will need to paste it into the SnapLogic installation location and configure the connection to Connect Cloud.
- Log into SnapLogic.
- Click the Managers tab.
- Select a folder from the Project Spaces to add the JDBC JAR file to.
- Click the Files tab.
- Click the button in the top right to upload the CData Connect Cloud JDBC JAR file. It appears as a file once uploaded.
- Click the Designer tab.
- Click JDBC to expand the options for "snaps."
- Click and drag a Generic JDBC - Select "snap" onto the designer.
- Click Add Account > Continue.
- Enter the JDBC connection properties.
- JDBC driver: add the CData Connect Cloud JAR file
- JDBC driver Class: enter cdata.jdbc.connect.ConnectDriver
- JDBC Url: enter a JDBC connection string for the JDBC driver. For example: jdbc:connect:AuthScheme=Basic;User={username};Password={PAT};
- Username: enter your CData Connect Cloud username. This is displayed in the top-right corner of the CData Connect Cloud interface. For example, [email protected].
- Password: enter the PAT you generated previously.
- Click Validate. If the connection succeeds, the "snap" is ready to use.
- Click Apply.
You can now create reports with the connected data.
Get CData Connect Cloud
To get live data access to 100+ SaaS, Big Data, and NoSQL sources directly from SnapLogic, try CData Connect Cloud today!
