DB2 10.5 for LUW Advanced Database Administration with DB2 BLU Acceleration-SPVC

This course is designed to teach you how to:

• Fully use the advanced technical functions and features of DB2 LUW 10.1 and 10.5.
• Implement DB2 BLU Acceleration, column-organized table support, for a new or existing DB2 database.
• Describe how the column dictionaries used for DB2 BLU Acceleration are built and utilized to provide extreme compression for column-organized tables.
• Explain the default workload management used for DB2 BLU Acceleration processing and how you can tailor the WLM objects to efficiently use system resources.
• Monitor a DB2 database or application that uses column-organized tables using SQL monitor functions.
• Create optimization profiles that allow applications to control specific operations included in the access plans selected by the DB2 Optimizer, like which index is used to access a table or which join method to utilize for joining tables.
• Perform advanced monitoring using the DB2 administrative views and routines in SQL queries.
• Configure and manage the implementation of DB2 instance or database level auditing, including using the db2audit command and creation of audit policies which can be assigned to specific tables, users or database roles to perform selective collection of audit records.
• Explore DB2's management of disk space usage in Database Managed Storage (DMS) table spaces, including the activities of the rebalancer. Use SQL queries and utilities to check the high water mark on table spaces and to monitor the rebalance operation.
• Move data from one table to another or from one database to another using utilities like db2move.
• Utilize the ADMIN_MOVE_TABLE procedure to implement table changes with a minimal impact to data availability for applications.
• Implement automatic storage management for table spaces and storage groups or enable automatic resize options for DMS managed table spaces to reduce administration requirements and complexity.
• Exploit and monitor the REORG utility processing for offline and online table, and index reorganization. This includes planning for the disk space and database log space necessary for reorganization.
• Utilize the REORG Utility to implement row compression for large tables, to reduce disk utilization and improve I/O performance for a DB2 database and understand the automatic creation of compression dictionaries.
• For Multidimensional Clustering (MDC) tables, determine how to select the dimension columns and table space extent size for efficient implementation of MDC tables. Compare the block indexes used with MDC tables with rows based indexes. Select the MDC rollout option that best matches application needs and achieves the best performance results.
• Plan and implement range based table partitioning for large DB2 tables. Utilize the ALTER TABLE ATTACH and DETACH options to support roll-in and roll-out operations for range-partitioned tables. Compare the advantages of selecting or combining range partitioning with the hash-based partitioning used in DB2 partitioned databases or the multiple dimensions provided by MDC tables.

You get practical experience in the planning and utilization of a wide variety DB2 LUW utilities and functions by performing a series of lab exercises using DB2 Advanced Enterprise Edition 10.5 installed on a Linux platform. The exercises build skills that can be applied to DB2 database servers on any Linux, UNIX or Windows environment.

The course materials cover DB2 10.5 for Linux, UNIX, and Windows.

If you are enrolling in a Self Paced Virtual Classroom or Web Based Training course, before you enroll, please review the Self-Paced Virtual Classes and Web-Based Training Classes on our Terms and Conditions page, as well as the system requirements, to ensure that your system meets the minimum requirements for this course.

http://www.ibm.com/training/terms

Training Paths that reference this course are:

• PureData System for Transactions - Database Administrator
• PureData for Operational Analytics
• IBM Smart Analytics System
• PureData for Operational Analytics
• PureData System for Transactions - Database Administrator
• Database Administration - Multiple Partition
• Advanced Database Administration – Single Partition and DB2 pureScale
• Advanced Database Administration – Single Partition and DB2 pureScale
• Database Administration - Multiple Partition