Mastering Amazon Athena: SQL on S3, AWS Glue Integration, and Automated Schema Management скачать в хорошем качестве

Mastering Amazon Athena: SQL on S3, AWS Glue Integration, and Automated Schema Management

Stop moving your data and start querying it! 🚀 In this tutorial, we dive deep into Amazon Athena, the serverless interactive query service that lets you analyze data directly in Amazon S3 using standard SQL. We cover everything from setting up your first database to handling complex CSV headers and preparing for automated schema discovery with AWS Glue. In this video, you will learn: ✅ Athena Federated Queries: How to query data across different sources without moving it. ✅ Setting up Athena: Configuring S3 query result locations for better data management. ✅ SQL Deep Dive: Creating databases and External Tables in Athena. ✅ SerDe Explained: What is LazySimpleSerDe and why it’s critical for text-based files like CSV and TSV. ✅ Handling CSV Headers: How to use table properties to skip header rows for clean data results. ✅ Practical SQL Analysis: Executing distinct counts, aggregations (sales per category), and date-based queries. ✅ Efficiency Challenge: Why manual schema definition fails for large datasets and how AWS Glue Crawlers provide the solution. Key Technical Concepts: Difference between Internal and External Tables. The role of the AWS Glue Data Catalog. Data Aggregation and Transformation using Presto/Trino SQL. Preparing for Python/Pandas integration for automated schema inference.