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  1. docs.aws.amazon.com › athena › latestWhat is Amazon Athena? - Amazon Athena - docs.aws.amazon.com

    Amazon Athena is an interactive query service that makes it easy to analyze data directly in Amazon Simple Storage Service (Amazon S3) using standard SQL. With a few actions in the AWS Management Console, you can point Athena at your data stored in Amazon S3 and begin using standard SQL to run ad-hoc queries and get results in seconds.

  2. aws.amazon.com › athenaInteractive SQL - Amazon Athena - AWS

    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.

  3. docs.aws.amazon.com › athenaAmazon Athena Documentation

    Learn how to use Athena to analyze data in Amazon S3 using standard SQL. Athena is serverless, easy to use, and pay-as-you-go.

  4. aws.amazon.com › athena › featuresAmazon Athena features - Amazon Web Services (AWS)

    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.

  5. docs.aws.amazon.com › athena › latestGetting started - Amazon Athena

    • Step 2: Create A Table
    • Step 3: Query Data
    • Saving Your Queries
    • Keyboard Shortcuts and Typeahead Suggestions
    • Connecting to Other Data Sources
    • GeneratedCaptionsTabForHeroSec

    Now that you have a database, you can create an Athena table for it. The table that you create will be based on sample Amazon CloudFront log data in the location s3://athena-examples-myregion/cloudfront/plaintext/, where myregionis your current AWS Region. The sample log data is in tab-separated values (TSV) format, which means that a tab character...

    See full list on docs.aws.amazon.com

    Now that you have the cloudfront_logs table created in Athena based on the data in Amazon S3, you can run SQL queries on the table and see the results in Athena. For more information about using SQL in Athena, see SQL reference for Athena.

    See full list on docs.aws.amazon.com

    You can save the queries that you create or edit in the query editor with a name. Athena stores these queries on the Saved queries tab. You can use the Saved queries tab to recall, run, rename, or delete your saved queries. For more information, see Using saved queries.

    See full list on docs.aws.amazon.com

    The Athena query editor provides numerous keyboard shortcuts for actions like running a query, formatting a query, line operations, and find and replace. For more information and a complete list of shortcuts, see Improve productivity by using keyboard shortcuts in Amazon Athena query editor in the AWS Big Data Blog. The Athena query editor supports...

    See full list on docs.aws.amazon.com

    This tutorial used a data source in Amazon S3 in CSV format. For information about using Athena with AWS Glue, see Using AWS Glue to connect to data sources in Amazon S3. You can also connect Athena to a variety of data sources by using ODBC and JDBC drivers, external Hive metastores, and Athena data source connectors. For more information, see Con...

    See full list on docs.aws.amazon.com

    Learn how to use Amazon Athena to query data stored in Amazon S3 using SQL. Follow the steps to create a database, a table, and run queries based on sample CloudFront log data.

    See full list on docs.aws.amazon.com

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  7. aws.amazon.com › athena › getting-startedGetting Started with Amazon Athena - aws.amazon.com

    Learn how to use Amazon Athena, a serverless query service to analyze big data in Amazon S3, using standard SQL. Watch videos, read tutorials, and access documentation and resources to get started with Athena.

  8. console.aws.amazon.com › athena › homeAmazon Athena Console - console.aws.amazon.com

    We would like to show you a description here but the site won’t allow us.

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