A Detailed Walkthrough : How to Write Nested Queries For S3 Data Lake Using Serverless Athena
AWS Athena is a serverless query service that allows you to analyze data stored in Amazon S3 using SQL queries. It is particularly useful for ad-hoc querying and interactive analysis of data in a data lake or data warehouse on S3.
Athena does not require you to load or transform data before querying. Instead, it works directly on the data stored in S3, and the queries are executed on an on-demand basis, with pricing based on the amount of data scanned.
You can use standard SQL to run queries on semi-structured or structured data formats like JSON, Parquet, ORC, and more.
Writing nested queries in AWS Athena is a vital skill for data analysts and engineers working with large, complex datasets in a data lake. It empowers you to efficiently access and analyze data, even when it's stored in intricate, nested structures.
In this video, I'll guide you through a comprehensive, step-by-step tutorial on writing nested queries within AWS Athena, specifically tailored for your S3 Data Lake.
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