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Sep 13, 2024 · 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.
- Getting Started
This tutorial walks you through using Amazon Athena to query...
- When Should I Use Athena
Amazon Athena makes it easy to run interactive queries...
- SQL
Amazon Athena supports a subset of Data Definition Language...
- Setting Up
These policies grant permissions to Athena to query Amazon...
- Amazon Athena
Amazon Athena is a serverless, interactive analytics service...
- Amazon Athena Features
Amazon Athena is an interactive query service that makes it...
- Getting Started
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.
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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What is Amazon Athena?
- Amazon Athena
- Amazon EMR
- Amazon Redshift
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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...
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. ...
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...
Learn how to choose Amazon Athena for interactive SQL queries on data in Amazon S3, or other AWS services for data processing and analysis. Compare Athena with Amazon EMR and Amazon Redshift for different use cases and requirements.
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, and you pay only for the queries you run.
Get started building with Amazon Athena on the AWS Management Console. Find answers to frequently asked questions about Amazon Athena. Amazon Athena is an interactive query service to analyze big data in Amazon S3, quickly and easily, using standard SQL.
Learn how to get started building with Amazon Athena, a serverless query service to analyze big data in Amazon S3, quickly and easily, using standard SQL.
