Comprehensive Tuning and Optimization for Oracle Databases
About this course
Updated in May 2025. This course now features Coursera Coach! A smarter way to learn with interactive, real-time conversations that help you test your knowledge, challenge assumptions, and deepen your understanding as you progress through the course. Master the art of Oracle database tuning and optimization with this all-encompassing course. Designed for database administrators and IT professionals, this course offers a complete toolkit for enhancing database performance, ensuring reliability, and resolving complex bottlenecks. Gain in-depth knowledge of monitoring, diagnosing, and optimizing every aspect of Oracle databases, from CPU utilization to advanced storage configurations. The course begins by addressing critical performance challenges, including CPU bottlenecks and disk I/O optimization. Progress into advanced topics like maintaining in-production indexes, handling row migration and chaining, and diagnosing table fragmentation. Engage with powerful features like table compression and the In-Memory Column Store to boost data retrieval speeds. Learn to optimize database connections and leverage SQL Performance Analyzer for precise query tuning. Real-world scenarios and hands-on exercises solidify your expertise in cutting-edge tools such as Database Replay and EM Express, ensuring you can handle live performance challenges confidently. The final modules focus on Linux OS performance monitoring and SQL Performance Analyzer, empowering you to manage both database and system-level performance with ease. This course is ideal for intermediate to advanced learners with prior Oracle database knowledge. Whether you're a database administrator or an IT professional, this program equips you with the skills to maintain high-performance Oracle environments.
74/100
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- 16/20
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What you'll learn
- monitoring Oracle database performance
- diagnosing and resolving performance bottlenecks
- optimizing CPU utilization and disk I/O
- maintaining indexes and handling row migration
- diagnosing table fragmentation
- applying table compression techniques
- utilizing SQL Performance Analyzer for query tuning
- implementing Database Replay and EM Express
- monitoring Linux OS performance
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