DB2 for Linux, UNIX, and Windows Performance Tuning and Monitoring WorkshopIBM
Preis auf Anfrage
- An 3 Standorten
Häufig gestellte Fragen
You should complete:
- DB2 9 Database Administration Workshop for Linux, UNIX, and Windows (CL2X2) or
- DB2 9 for Linux, UNIX, and Windows Quickstart for Experienced Relational DBAs (CL482)
- or have equivalent experience.
Was lernen Sie in diesem Kurs?
Learn how to tune for optimum performance the IBM DB2 9 for Linux, UNIX, and Windows relational database management system and associated applications written for this environment. Learn about DB2 9 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 that are common across the Linux, UNIX, and Windows environments. During labs running on DB2 9.7, 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.
The course materials cover DB2 9.7 for Linux, UNIX, and Windows.
The twelve labs use the DB2 9.5 Linux, UNIX, and Windows tools and commands to monitor, configure and analyze performance. The labs are performed using one DB2 9.5 for Linux system per student.
Training Paths that reference this course are:
- PureData System for Transactions - Database Administrator
- Advanced Database Administration – Single Partition and DB2 pureScale
- DB2 for Oracle DBAs
- DB2 for SQL Server DBAs
- 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