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Amazon Athena lets you analyze data in Amazon S3 using standard SQL or Apache Spark. It is serverless, scalable, and integrates with other AWS services. Learn how to get started, set up access, and use notebooks.
- Athena Notebook APIs
AWS Documentation Amazon Athena User Guide. Use Athena...
- AWS Service Integrations With Athena
Reference topic: AWS::Athena::PreparedStatement in the AWS...
- Getting Started With Apache Spark on Amazon Athena
Get started using Jupyter notebooks in Athena. For the...
- When Should I Use Athena
For a list of AWS services that Athena leverages or...
- Setting Up
These policies grant permissions to Athena to query Amazon...
- SQL
Amazon Athena supports a subset of Data Definition Language...
- Supported Geospatial Functions
For information about the geospatial functions in Athena...
- Access to Amazon S3
When actors interact with Athena, their permissions pass...
- Athena Notebook APIs
Amazon Athena lets you analyze petabytes of data in S3, on premises, or in multicloud environments using SQL or Python. Learn how to use Athena for data preparation, ML models, reconciliation engines, and more.
Learn how to use Athena to analyze data in Amazon S3 using standard SQL. Find user guide, API reference, and feedback options for Athena, a serverless and pay-as-you-go service.
Amazon Athena is a serverless service that lets you analyze data in Amazon S3 using standard SQL. Learn about its benefits, such as zero infrastructure, fast performance, flexible pricing, and federated query with various data sources.
Learn how to use Amazon Athena to query data in Amazon S3 using SQL and Apache Spark applications. Follow a tutorial to create a database, a table, and a query, and explore other features and resources.
Learn how to use Amazon Athena, a service that lets you analyze big data in Amazon S3 with standard SQL. Find tutorials, videos, pricing, documentation, and more resources to get started with Athena.
24 sie 2024 · Learn how to use AWS Athena, a serverless query service that lets you analyze data in S3 with SQL. Explore its architecture, integration, scalability, security, and common applications.