Explore modern data governance and analytics solutions on AWS, including Glue Data Catalog, Lake Formation, Athena, and Hive. Learn to manage metadata, enforce governance, and analyze data at scale using serverless and big data technologies.

This course delves into AWS services that enable effective metadata management, data governance, and scalable analytics. Learners will understand how to use Glue Data Catalog for metadata repositories, implement fine-grained access control with Lake Formation, and leverage Athena and Hive for serverless and big data analytics. The course concludes with real-world project scenarios that integrate data modeling, Redshift, Athena, and Python for comprehensive analytics solutions. Learners engage with a combination of theoretical insights and practical demonstrations, focusing on integrating governance and analytics tools to build secure, scalable, and efficient data platforms. The course highlights best practices for managing metadata, enforcing governance, and optimizing analytics workflows on AWS. This course is part three of a three-course Specialization designed to build a complete and cohesive understanding of the subject. While it offers valuable skills on its own, you'll gain the most benefit by progressing through all three courses as a structured learning journey. This course is based on Data Engineering on AWS Vol 1 - OLAP & Data Warehouse, by Soumyadeep Dey. This course is licensed and distributed by Packt. All rights reserved. Packt is one of the world's most prolific publishers of cutting-edge technical content. For over two decades we've made it our mission to curate and publish the knowledge of only the very best technical experts. We focus on real-world courses that help our customers get the job done, with coverage that extends across a wide range of established and cutting-edge technical topics. If you're an individual or an organisation that embraces learning by doing, Packt is the perfect fit for you.