Athena

AWS Athena

AWS Athena
  1. What is AWS Athena used for?
  2. Is AWS Athena is ETL tool?
  3. What is the difference between S3 and Athena?
  4. What is AWS glue vs Athena?

What is AWS Athena used for?

Athena provides a simplified, flexible way to analyze petabytes of data where it lives. Analyze data or build applications from an Amazon Simple Storage Service (S3) data lake and 25-plus data sources, including on-premises data sources or other cloud systems using SQL or Python.

Is AWS Athena is ETL tool?

We also found Athena to be a robust, powerful, reliable, scalable, and cost-effective ETL tool. The ability to schedule SQL statements, along with support for Create Table As Select (CTAS) and INSERT INTO statements, helped us accelerate our ETL workloads.

What is the difference between S3 and Athena?

So Whats the Difference Between S3 Select and Athena? S3 Select is a lightweight solution designed to let you use SQL to perform simple SELECT clauses on a maximum of one file. Amazon Athena is an analytics workhorse that allows you to perform SQL on extremely large datasets spanning many files with great performance.

What is AWS glue vs Athena?

A key difference between Glue and Athena is that Athena is primarily used as a query tool for analytics and Glue is more of a transformation and data movement tool. Creating tables for Glue to use in ETL jobs. The table must have a property added to them called a classification, which identifies the format of the data.

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