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How do I use Amazon Athena to query data?
Can I Run SQL queries using Amazon Athena?
What is Amazon Athena?
Why should we use Amazon Athena?
You can run SQL queries using Amazon Athena on data sources that are registered with the AWS Glue Data Catalog and data sources such as Hive metastores and Amazon DocumentDB instances that you connect to using the Athena Federated Query feature.
- Querying Across Regions
Data access permissions – To successfully query Amazon S3...
- Viewing Query Stats
The total runtime and execution stage time of a query often...
- Viewing Query Plans
You can use the Athena query editor to see graphical...
- Querying JSON
Query JSON data in Athena. Notice how the CREATE TABLE...
- Using Saved Queries
Use the Athena console to save, edit, run, rename, and...
- Handling Schema Updates
Store your data in AVRO, JSON or ORC and Parquet if they are...
- Querying Arrays
Amazon Athena lets you create arrays, concatenate them,...
- Querying AWS Service Logs
Amazon Athena is an interactive query service that makes it...
- Querying Across Regions
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 of the query. The tutorial uses live resources, so you are charged for the queries that you run.
- You first need to create a database in Athena.To create a database 1. Open the Athena console. 2. If this is your first time visiting the Athena co...
- Now that you have a database, you're ready to create a table that's based on the sample data file. You define columns that map to the data, specify...
- Now that you have the cloudfront_logs table created in Athena based on the data in Amazon S3, you can run queries on the table and see the results...
For information about using SQL that is specific to Athena, see Considerations and limitations for SQL queries in Amazon Athena and Run SQL queries in Amazon Athena. For an example of creating a database, creating a table, and running a SELECT query on the table in Athena, see Get started .
Aug 24, 2024 · AWS Athena is an interactive query service that allows users to analyze data directly in Amazon S3 using standard SQL. With Athena, you can run SQL queries on large datasets stored in S3 without complex ETL processes, making it a powerful tool for quick data exploration and in-depth analysis.
- Creating Tables
- Partitioning Data
- Converting Data to Columnar Formats
- Summary
If you are familiar with Apache Hive, you may find creating tables on Athena to be familiar. You can create tables by writing the DDL statement on the query editor, or by using the wizard or JDBC driver. Copy and paste the following DDL statement in the Athena query editor to create a table. Note the regular expression specified in the CREATE TABLE...
Customers often store their data in time-series formats and need to query specific items within a day, month, or year. Without a partition, Athena scans the entire table while executing queries. With partitioning, you can restrict Athena to specific partitions, thus reducing the amount of data scanned, lowering costs, and improving performance. Ath...
Athena allows you to use open source columnar formats such as Apache Parquet and Apache ORC. Converting your data to columnar formats not only helps you improve query performance, but also save on costs. There are several ways to convert data into columnar format. In this post, you can take advantage of a PySpark script, about 20 lines long, runnin...
Amazon Athena allows you to analyze data in S3 using standard SQL, without the need to manage any infrastructure. You can also access Athena via a business intelligence tool, by using the JDBC driver. Athena charges you on the amount of data scanned per query. As was evident from this post, converting your data into open source formats not only all...
Oct 29, 2020 · Amazon Athena is primarily used as an interactive query service that makes it easy to analyze unstructured, semi-structured, and structured data stored in Amazon Simple Storage Service (Amazon S3) using standard SQL.
To get started with Athena, log in to the AWS Management Console for Athena and create your schema by writing Data Definition Language (DDL) statements on the console or by using a create table wizard. You can then start querying data using a built-in query editor.
