AWS Serverless Analytics: Glue, Athena, QuickSight, and Redshift

Modern organizations generate vast amounts of data, but managing the physical servers to process and analyze it can be an operational nightmare. Transitioning to serverless analytics allows you to focus entirely on extracting insights from your data without worrying about infrastructure maintenance. In this course, you will transition from a beginner to a confident practitioner capable of designing and implementing serverless data pipelines on AWS. You will understand how to orchestrate data movement, catalog information, run fast queries directly on cloud storage, and build interactive dashboards. What you'll learn: - Understand the fundamental concepts of serverless architecture and cloud-based data lakes. - Configure AWS Glue to crawl, catalog, and transform raw data into optimized formats like Apache Iceberg and Parquet. - Execute fast, cost-effective SQL queries on unstructured data using Athena. - Analyze massive datasets across data warehouses and data lakes using Redshift Spectrum. - Create interactive, visual business intelligence dashboards with QuickSight. - Apply modern data governance and security practices to protect sensitive cloud data assets. You will start with core terminology and foundational cloud concepts before moving step-by-step through data cataloging, querying, and visualization. Through clear written explanations and practical SQL and configuration examples, you will learn how these services integrate to form a modern data lakehouse. This course is designed for beginners who want to enter the world of cloud data engineering and business intelligence. No prior experience with AWS or cloud infrastructure is required, as we build your knowledge from the ground up. Start your journey into serverless cloud analytics today.