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Amazon Athena

Explore Amazon Athena, a serverless interactive query service in AWS that allows you to analyze data stored in S3 using standard SQL. Learn how to use Athena's core features including Apache Spark support and diverse data format compatibility. Understand its integration with AWS services like QuickSight and Glue for efficient data processing and visualization. This lesson helps you optimize performance and costs while gaining faster insights without managing infrastructure.

Amazon Athena is an interactive query service provided by Amazon Web Services (AWS) that allows us to analyze data stored in Amazon Simple Storage Service (S3) using standard SQL queries. It enables us to query large-scale datasets quickly and easily without having to set up or manage any infrastructure.

In this lesson, we will go through the functionalities of Amazon Athena and when to use it.

Core functionalities

The core functionalities offered by Amazon Athena are given as follows:

  • Serverless architecture: Unlike traditional data warehouses that require server setup and management, Athena operates as a serverless service. We simply submit the queries, and Athena handles the underlying infrastructure for processing.

  • Apache Spark support: Amazon Athena supports the open-source distributed processing system Apache Spark for running fast analytics workloads. Data analysts and engineers can use the Jupyter Notebook in Athena to perform data ...