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⏱ 2h 36m📚 26 lessons
PostgreSQL Database Optimization for Data Engineers
Learn to speed up slow queries, manage database internals, and configure indexes to build highly efficient PostgreSQL databases.
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About this course
Slow database queries can cripple even the most well-designed software applications. Understanding how PostgreSQL manages data under the hood is the absolute key to unlocking maximum database performance. This text-based course guides you through the core mechanics of PostgreSQL optimization, transforming you from a basic query writer into an engineer who designs lightning-fast databases. You will learn to diagnose bottlenecks, implement smart indexing strategies, and maintain database health over time. What you'll learn: 1. Analyze query performance using the EXPLAIN and EXPLAIN ANALYZE commands to pinpoint bottlenecks. 2. Implement effective indexing strategies, including B-Tree, GIN, and BRIN indexes, to dramatically reduce query execution times. 3. Manage database maintenance operations, including vacuuming and bloat control, to keep your system running smoothly. 4. Structure robust database transactions while maintaining ACID compliance and proper isolation levels. 5. Navigate PostgreSQL system catalogs and internal metadata to inspect table statistics and database health. The course begins with foundational database concepts and PostgreSQL architecture before moving into query analysis, advanced indexing patterns, and routine maintenance techniques. Through detailed written explanations, structured SQL exercises, and clear conceptual breakdowns, you will develop a systematic approach to database tuning. This course is designed for beginner data engineers, backend developers, and database administrators who have a basic understanding of SQL but want to master performance optimization. No advanced administration experience is required. Start optimizing your database workflows today.
Course contents
What you'll get
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⚡Short & focused 2h 36m of practical content
Certificate of completion
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PostgreSQL Database Optimization for Data Engineers