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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 Hive data. This article illustrates the process of connecting to Hive through Connect AI and constructing ELT pipelines for Hive data within Airbyte.
CData Connect AI offers a dedicated SQL Server interface for Hive, 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 Hive. This harnesses server-side processing to swiftly retrieve the desired Hive data.
Connectivity to Hive from Airbyte is made possible through CData Connect AI. To work with Hive data from Airbyte, we start by creating and configuring a Hive connection.
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 Hive data from Airbyte.
To establish a connection from Airbyte to CData Connect AI, follow these steps.
To connect Hive 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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