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Basic of SQL optimalization I

This course provides a comprehensive introduction to the principles, techniques, and best practices of SQL performance optimization in Oracle Database environments. Designed for database developers, analysts, and administrators, the course focuses on understanding how Oracle processes SQL statements and how to write efficient, scalable queries that make optimal use of database resources.

Duration 2MD

Lanquage : Slovak

Students will learn to identify performance bottlenecks, interpret execution plans, and apply tuning strategies to improve query response times. The course explores Oracle’s key optimization features—such as the Cost-Based Optimizer (CBO), indexing strategies, statistics management, SQL profiling, and advanced tuning tools like AWR, ASH, and SQL Trace.

Through hands-on exercises and real-world examples, participants will practice rewriting SQL statements, optimizing joins and subqueries, choosing the right access paths, and troubleshooting poor-performing queries. By the end of the course, learners will be equipped with the practical skills required to diagnose performance issues and implement effective SQL tuning solutions in Oracle-based systems.

Key Topics Covered

  • Oracle SQL execution process and architecture
  • Cost-Based Optimizer fundamentals
  • Reading and analyzing execution plans
  • Indexing strategies (B-tree, bitmap, function-based)
  • Statistics collection and optimizer behavior
  • Identifying inefficient queries and access paths
  • SQL hints and when to use them
  • Optimization of joins, subqueries, and aggregations
  • Using Oracle performance tools (AWR, ASH, SQL Trace, TKPROF)
  • Best practices for scalable SQL development

Learning Outcomes

By the end of the course, participants will be able to:

  • Write optimized SQL statements with improved performance
  • Diagnose and resolve query bottlenecks using Oracle tools
  • Understand how the Oracle optimizer makes decisions
  • Apply indexing and statistics strategies effectively
  • Improve overall database application performance through informed tuning techniques

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