Athena SQL and Apache Spark on Amazon Athena are serverless, so there is no infrastructure to set up or manage, and you pay only for the queries you run. Athena scales …

Athena allows connecting to external Hive metastores using Lambda functions, creating data source names referencing metastores for queries, managing created data sources.

With Athena Federated Query, you can run SQL queries across data stored in relational, non-relational, object, and custom data sources. Athena uses data source connectors that run on …

You can have a mix of Athena managed and customer managed query results in your AWS account. Streamlined IAM permissions with access to read results through GetQueryResults …

This tutorial walks you through using Amazon Athena to query data. You'll create a table based on sample data stored in Amazon Simple Storage Service, query the table, and check the results …

Amazon Athena is an interactive query service that makes it easy to analyze data in Amazon S3 using standard SQL. Athena is serverless, so there is no infrastructure to setup or manage, …

You can create a crawler by starting in the Athena console and then using the AWS Glue console in an integrated way. When you create the crawler, you specify a data location in Amazon S3 …

When actors interact with Athena, their permissions pass through Athena to determine what Athena can access. This means that users must have permission to access Amazon S3 …

AWS offers flexible, convenient options for taking AWS Certification exams so you can select what works best for you. Learn more about testing options and scheduling your exam.

Athena processes queries by assigning resources based on the overall service load and the number of incoming requests. Your queries may be temporarily queued before they run.