Serverless Data Analytics with Athena and QuickSight

Modern organizations generate massive amounts of data, but setting up traditional databases to analyze this information is often slow and expensive. With serverless analytics, you can query raw data directly where it lives and turn it into actionable business insights instantly.\n\nIn this text-based course, you will learn how to build a complete, cost-effective analytics pipeline on AWS. You will read step-by-step explanations, study SQL query designs, and understand how to transform raw files into interactive, shareable dashboards.\n\nWhat you'll learn:\n- Understand the core concepts of serverless data lakes and pay-per-query pricing models\n- Query raw CSV, JSON, and Parquet data stored in S3 buckets using SQL in Athena\n- Optimize query performance and reduce costs using data partitioning and modern formats like Apache Iceberg\n- Connect QuickSight to your data sources and design interactive visual dashboards\n- Configure secure access control and data permissions for different user roles\n- Practice structuring analytical queries to solve real-world business intelligence problems\n\nThis course starts with foundational definitions of cloud storage and serverless querying before guiding you through data preparation, SQL optimization, and dashboard creation. You will progress from raw data concepts to building fully functional reporting interfaces through written walkthroughs and conceptual exercises.\n\nDesigned for beginners, this course requires no prior cloud administration or database management experience. A basic familiarity with SQL concepts is helpful but not required to start.\n\nStart reading today to unlock the power of serverless cloud analytics.