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.
Implement Shadow tables for selected row-organized tables to improve analytics query performance
Configure a DB2 database that supports a mixture of application processing, including OLTP and Analytics query processing with Shadow tables
Create the Infosphere CDC Datastore, Subscription and Table mappings required to support Shadow tables
Implement a User Maintained MQT for a column-organized table
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.
This is an advanced course for DB2 LUW experienced database administrators who support DB2 for UNIX, Windows, and Linux databases.
Advanced Table Space Management
DB2 10.5 BLU Acceleration Concepts
DB2 10.5 BLU Acceleration Implementation and Use
DB2 10.5 BLU Acceleration Implementing Shadow Tables and User Maintained MQTs
Using Optimizer Profiles to control Access Plans
Advanced Data Movement
Advanced Table Reorganization
Multiple Dimension Clustering
DB2 Database Auditing
DB2 10 for LUW: Basic Administration for Linux and Windows (CL2X3) or
DB2 10 for LUW: Basic Administration for AIX (CL213) or
DB2 10 for Linux, UNIX, and Windows Quickstart for Experienced Relational DBAs (CL485)
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