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Airbyte empowers users to load your data into any data warehouse, data lake, or database. When combined with CData Connect AI, Airbyte users can create Extract, Load, Transform (ELT) pipelines directly from live Databricks data. This article illustrates the process of connecting to Databricks through Connect AI and constructing ELT pipelines for Databricks data within Airbyte.
CData Connect AI offers a dedicated SQL Server interface for Databricks, facilitating data querying without the need for data replication to a native database. With built-in optimized data processing capabilities, CData Connect AI efficiently directs all supported SQL operations, including filters and JOINs, straight to Databricks. This harnesses server-side processing to swiftly retrieve the desired Databricks data.
Accessing and integrating live data from Databricks has never been easier with CData. Customers rely on CData connectivity to:
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.
Connectivity to Databricks from Airbyte is made possible through CData Connect AI. To work with Databricks data from Airbyte, we start by creating and configuring a Databricks connection.
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.
When connecting to Connect AI 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 AI. It is best practice to create a separate PAT for each service to maintain granularity of access.
With the connection configured and a PAT generated, you are ready to connect to Databricks data from Airbyte.
To establish a connection from Airbyte to CData Connect AI, follow these steps.
To connect Databricks data with a new destination, click Sources and then Set Up Connection to connect to your destination. Select the source created above and your desired destination, then allow Airbyte to process. When it is done, your connection is ready for use.
To get live data access to hundreds of SaaS, Big Data, and NoSQL sources directly from Airbyte, try CData Connect AI today!
Learn more about CData Connect AI or sign up for free trial access:
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