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Redash is a collaboration tool that lets you query, visualize, and share your data. When paired with CData Connect AI, Redash gets access to live Impala data. This article demonstrates how to connect to Impala using Connect AI and work with live Impala data in Redash.
CData Connect AI provides a pure SQL Server interface for Impala, allowing you to query data from Impala without replicating the data to a natively supported database. Using optimized data processing out of the box, CData Connect AI pushes all supported SQL operations (filters, JOINs, etc.) directly to Impala, leveraging server-side processing to return the requested Impala data quickly.
Connectivity to Impala from Redash is made possible through CData Connect AI. To work with Impala data in Redash, we start by creating and configuring a Impala connection.
In order to connect to Apache Impala, set the Server, Port, and ProtocolVersion. You may optionally specify a default Database. To connect using alternative methods, such as NOSASL, LDAP, or Kerberos, refer to the online Help documentation.
๐ Configuring a connection (Salesforce is shown)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 Impala data from Redash.
To establish a connection from Redash to CData Connect AI using the Virtual SQL Server, follow these steps:
You can now work with live Impala data in Redash.
To get live data access to hundreds of SaaS, Big Data, and NoSQL sources directly from Redash, try CData Connect AI today!
Learn more about CData Connect AI or sign up for free trial access:
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