DB2 for i SQL Performance Monitoring and Tuning Workshop

Introduction

Learn the information, tools and strategies for monitoring, analyzing and tuning IBM DB2 for i Structured Query Language (SQL). Explore the science and art behind the DB2 for i query optimizer and database engine, including database performance and scalability. Discuss performance issues affecting database design and data-centric applications. Get hands on experience with database performance parameters and options, as well as the various tools that assist in performance monitoring, analysis and tuning. Knowledge and skill gained by attending this course are considered critical success factors when building and deploying SQL based solutions.

Who should attend

This is an intermediate course for IBM i database designers, performance analysts, and application developers who are concerned about SQL performance and scalability. It is highly recommended for individuals interested in SQL performance when accessing and using the DB2 for i database server via interfaces such as CLI, ODBC, JDBC or DRDA.

This course is also designed for database administrators, database engineers, database consultants and performance analysts working in and around iSeries, System i or Power Systems running IBM i.

Pre-requisites

You should have:

• Intermediate knowledge of SQL and relational database concepts
• Basic understanding of DB2 for i
• Basic understanding of IBM i architecture and application concepts
• Basic understanding of IBM i work management

Course Objective and Content

• Understand the art and science of DB2 for i SQL query optimization and execution
• Strategies and related methodology for monitoring, analyzing and tuning DB2 for i SQL queries
• Discuss how to design high-performing SQL applications running in IBM i and/or accessing DB2 for i
• Recognize and utilize the database and OS parameters and options that can impact performance
  
  
  
• Introduction to DB2 for i Query Optimizer and Database Engine
• Database engine methods for data access and data processing
• Indexing and Statistics strategies
• SQL application design and programming best practices
• Behavior of static SQL and dynamic SQL
• Best practices for popular SQL interfaces, such as CLI, ODBC and JDBC
• Parallel database processing - DB2 Symmetric Multiprocessor (SMP)
• State of the art tools, including System i Navigator Performance Center
  
  
  
  

Schedule