Learn how to tune for optimum performance the IBM DB2 10 for Linux, UNIX, and Windows relational database management system and associated applications written for this environment. Learn about DB2 10 for Linux, UNIX, and Windows in a single [...]
  • CL413G
  • Délka 4 dny
  • 0 ITK bodů
  • 0 termínů
  • Praha (53 600 Kč)

    Brno (na vyžádání)

    Bratislava (2 240 €)

Learn how to tune for optimum performance the IBM DB2 10 for Linux, UNIX, and Windows relational database management system and associated applications written for this environment. Learn about DB2 10 for Linux, UNIX, and Windows in a single partition database environment. Explore performance issues affecting the design of the database and applications using the database, the major database performance parameters, and the different tools that assist in performance monitoring and tuning. Use tools in class that are common across the Linux, UNIX, and Windows environments. During labs running on DB2 10.1, develop your ability to use monitoring tools. Explain tools and DB2 utilities like RUNSTATS, REORG and db2batch to tune a database running on your local LINUX workstation.

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This is an advanced course for database designers, database administrators, and application developers working with DB2 for Linux, UNIX, and Windows who are concerned about performance.

  • Define the impact of database design (tables, indexes, and data placement) on database performance
  • Describe database application programming considerations and how they affect performance
  • Identify and describe the parameters (database and non-database) that affect performance
  • Tune parameters to achieve optimum performance
  • Identify and use the tools that assist in monitoring and tuning of a database

You should have completed:

  • DB2 10 for LUW: Basic Administration for Linux and Windows (CL2X3G) or
    DB2 10.1 for Linux, UNIX, and Windows Quickstart for Experienced Relational DBAs (CL484G)
  • Database Monitoring
  • Database I/O Management
  • Table space and Table Design for Performance
  • DB2 Memory Management
  • Automated Memory Management
  • Application Performance Considerations
  • Using Explain Tools
  • The DB2 Optimizer
  • Using Indexes for Performance
  • Complex SQL Performance
  • Tools and Utilities for Performance
  • Event Monitor
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