AWS Athena
Explore how to use AWS Athena to perform interactive SQL queries on large datasets in Amazon S3 without managing infrastructure. Understand its serverless architecture, Apache Spark integration, and cost model. Learn to optimize query performance with data partitioning and compression, and see how Athena integrates with AWS tools for efficient data analysis.
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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 (Amazon S3) using standard SQL queries. It enables us to quickly and easily query large-scale datasets without having to set up or manage any infrastructure.
In this lesson, we will go through the functionalities of Amazon Athena, when to use it, and its benefits.
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 processing and programmatically interact with ...