Aws athena redshift11/9/2023 Create a new table in Athena using the CREATE TABLE statement.Create an S3 bucket and upload your data files to it.Here is an example of how to use Athena to query data stored in S3: AWS Athena ExampleĪWS Athena is a serverless, interactive query service that allows you to analyze data in Amazon S3 using standard SQL. It’s also good to note that for cost optimization, you can partition your data and convert it to columnar formats like Apache Parquet or ORC, that are more efficient for analytics workloads, which will lower the amount of data that needs to be scanned and reduce the cost of running queries. Data transfer charges are incurred when data is transferred out of the Amazon S3 bucket where the queried data is stored. Data storage charges are incurred for the data stored in the Athena data catalog and the data stored in Amazon S3 that is queried by Athena. In addition to the pay-per-query charges, there may be additional charges for data storage and data transfer. The cost is based on the amount of data scanned, rounded to the nearest megabyte, with a minimum charge of $5 per TB scanned. Secure: Athena encrypts data at rest and in transit, and integrates with AWS Identity and Access Management (IAM) for fine-grained access control.ĪWS Athena is a pay-per-query service, meaning that you only pay for the amount of data scanned by each query.Low cost: Athena charges only for the amount of data scanned per query, so you pay only for what you use.Integrations: Athena integrates with other AWS services such as Amazon QuickSight, Amazon Redshift Spectrum, and AWS Glue.Scalable: Athena can handle large amounts of data and concurrent queries, and automatically scales up and down based on query demand.Standard SQL: Athena supports standard SQL, making it easy for users who are familiar with SQL to get started.Interactive querying: Athena allows you to run ad-hoc queries and get results in seconds.Serverless: Athena is a fully managed service, so there is no infrastructure to provision or manage.
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