![]() Lambda lets you run code without provisioning or managing servers. ![]() Simply point to your data in Amazon S3, define the schema, and start querying using standard SQL. Athena is serverless, so there is no infrastructure to manage, and you pay only for the queries that you run. The following diagram depicts how Athena federation works by using Lambda to integrate with a federated data source.Īthena is an interactive query service that makes it easy to analyze data in Amazon S3 using standard SQL. Solution overviewĭata federation is the capability to integrate data in another data store using a single interface. You also see a performance benchmark analysis of interactive and ad hoc TPC-DS queries, and learn some key performance considerations and best practices when using federation. In this post, you walk through a step-by-step configuration to set up Athena federation using Lambda to access data in Amazon Redshift. In these scenarios, Athena federation with Amazon Redshift allows you to seamlessly access the data in your Amazon Redshift data warehouse without having to wait to unload the data to the Amazon S3 data lake, which removes the overhead in managing such jobs. Analysts using Athena to query their data lake for analytics need agility and flexibility to access data in an Amazon Redshift data warehouse without moving the data to Amazon S3 Data Lake.They need access to the data in an Amazon Redshift cluster owned by Team B. Team A has a data lake in Amazon S3 and uses Athena.However, when you use Athena in the data lake and need to access data in Amazon Redshift for the following two scenarios which are commonly seen, there is no easy approach: When you need to query your data lake from your Amazon Redshift Data warehouse, you can use Amazon Redshift Spectrum, which works great in unifying your data lake and data warehouse. Lake House is the ability to integrate Data Lake and Data warehouse seamlessly. If you use data lakes in Amazon Simple Storage Service (Amazon S3) and use Amazon Redshift as your data warehouse, you may want to integrate the two for a lake house approach. ![]() This post provides guidance on how to configure Amazon Athena federation with AWS Lambda and Amazon Redshift, while addressing performance considerations to ensure proper use.
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