IBM Db2 12.1: Performance and Tuning Optimization for Relational DBAs
Analytics · Data, Analytics, and AI
Course Overview
This course equips experienced database administrators with the skills needed to analyze, tune, and optimize the performance of IBM Db2 12 for Linux, UNIX, and Windows.
This course equips experienced database administrators with the skills needed to analyze, tune, and optimize the performance of IBM Db2 12 for Linux, UNIX, and Windows.
Participants will learn how to interpret and influence the Db2 query optimization process using statistical metadata, develop efficient indexing strategies for high-performance workloads, and apply advanced tools such as EXPLAIN, db2pd, and the Db2 Data Management Console to evaluate and refine SQL access paths.
The course also introduces the Db2 AI Optimizer and automation techniques that simplify statistics collection and performance diagnostics. Emphasis is placed on real-world use cases, practical monitoring methods, and proactive tuning practices to ensure scalable and efficient database operations in enterprise environments.
Who Should Attend
TBD
Prerequisites
Prior to enrolling in this course, participants should have: • Completed CLA90G, CLA91G, and CLA93G or have equivalent experience • A working knowledge of Db2 database administration • A basic understanding of SQL and query design • Familiarity with Db2 system catalogs • Exposure to Db2 utilities and monitoring commands
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Course Details
- Course Code
- CLA94G
- Level
- Intermediate
- Duration
- 1 day
- Brand
- Analytics
- Category
- Data, Analytics, and AI
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