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    Querying Data in S3 with Amazon Athena

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

    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. aws.amazon.com › athena › featuresAmazon Athena Features – Serverless Interactive Query Service ...

    Amazon Athena lets you analyze data directly in Amazon S3 using standard SQL, without managing any infrastructure or software. You can use Athena to process logs, perform data analytics, run interactive queries, and integrate with other data sources and ML models.

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

    Learn how to use Athena to analyze data in Amazon S3 using standard SQL. Athena is serverless, so you pay only for the queries you run and there is no infrastructure to manage.

  6. docs.aws.amazon.com › athena › latestWhen should I use Athena? - Amazon Athena

    • Amazon Athena
    • Amazon EMR
    • Amazon Redshift

    Athena helps you analyze unstructured, semi-structured, and structured data stored in Amazon S3. Examples include CSV, JSON, or columnar data formats such as Apache Parquet and Apache ORC. You can use Athena to run ad-hoc queries using ANSI SQL, without the need to aggregate or load the data into Athena. Athena integrates with Amazon QuickSight for...

    See full list on docs.aws.amazon.com

    Amazon EMR makes it simple and cost effective to run highly distributed processing frameworks such as Hadoop, Spark, and Presto when compared to on-premises deployments. Amazon EMR is flexible – you can run custom applications and code, and define specific compute, memory, storage, and application parameters to optimize your analytic requirements. ...

    See full list on docs.aws.amazon.com

    A data warehouse like Amazon Redshift is your best choice when you need to pull together data from many different sources – like inventory systems, financial systems, and retail sales systems – into a common format, and store it for long periods of time. If you want to build sophisticated business reports from historical data, then a data warehouse...

    See full list on docs.aws.amazon.com

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  8. aws.amazon.com › athena › getting-startedGetting started with Amazon Athena - Serverless Interactive ...

    Learn how to use Amazon Athena, a service that lets you analyze big data in Amazon S3 with standard SQL. Find tutorials, videos, documentation, and pricing information for Amazon Athena.

  9. aws.amazon.com › athena › faqsAmazon Athena FAQs – Serverless Interactive Query Service ...

    Learn how to use Athena to analyze data in S3 and other data sources using SQL or Spark. Find out how to access, store, and manage schemas, tables, and partitions with Athena and AWS Glue.

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