Summary

In this chapter, we learned more about the Amazon Athena service, an AWS-managed service that builds on the Apache Presto and Trino solutions to enable you to run SQL or Spark based queries against your data. We also looked at how to optimize our data and SQL queries to increase query performance and reduce costs.

Then, we explored advanced Athena functionality, including how Athena can be used as a SQL query engine not only for data in an Amazon S3 data lake, but also for external data sources such as other database systems, data warehouses, and even CloudWatch logs, using Athena Query Federation.

We wrapped up the theory part of this chapter by looking at Athena workgroups, which let us manage governance and costs, and they can be used to enforce specific settings for different teams or projects, and can also be used to limit the amount of data that is scanned by queries. In the last section of this chapter, we got hands-on with Athena, first creating a new workgroup...