In this episode, we focus on Amazon Athena and AWS Glue, two powerful services for querying and processing data in the cloud. Amazon Athena is an interactive query service that allows you to analyze large datasets stored in Amazon S3 using standard SQL queries. We’ll walk you through how to set up Athena, create tables, and run SQL queries to extract valuable insights from structured and semi-structured data stored in S3. Athena is serverless, meaning you only pay for the queries you run, making it a cost-effective solution for ad-hoc analysis and data exploration.

We’ll also explore AWS Glue, a fully managed extract, transform, and load (ETL) service that makes it easy to prepare and transform your data for analytics. AWS Glue automates the process of discovering, categorizing, and transforming data, making it ideal for data lakes and data warehousing use cases. We’ll show you how to use Glue to build ETL pipelines that prepare data for analysis with services like Athena, Redshift, and QuickSight. By the end of this episode, you’ll be able to leverage Athena and Glue for powerful, scalable data analytics in AWS. Produced by BareMetalCyber.com, your trusted resource for expert-driven cybersecurity education.