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PT20879
Training Summary
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. 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 ac
Prerequisites
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) Or have equivalent experience
Duration
5 Days
Audience
This is an advanced course for DB2 LUW experienced database administrators who support DB2 for UNIX, Windows, and Linux databases.
Course Topics
Monitor a DB2 LUW database using command line processor queries Implement BLU Acceleration, column-organized table support, for a new or existing DB2 databaseConfigure a DB2 database that uses DB2 BLU Acceleration, column-organized tables, including sort memory and utility heap memory considerationsDescribe the default workload management used for DB2 BLU Acceleration processing and how you can tailor the WLM objects to efficiently use system resourcesImplement 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 tablesImplement an optimization profile to control a portion of the access plan selected by the DB2 optimizer to achieve specific application performance resultsDefine storage groups for automatic storage table spaces and use ALTER tablespace to change the storage group assigned to a tablespaceManage the disk space allocated in DMS table spaces using ALTER TABLESPACE to extend or to reduce the containers, and monitor the progress of the DB2 rebalancer process Implement automatic resize for DMS table spaces or Automatic Storage management for table spaces to reduce the complexity of managing DB2 LUW databasesUtilize range-based partitioned tables to support large DB2 tables that require very efficient roll-in and roll-out capabilities Set the options for the INGEST utility and monitor ingest processing Plan and execute the DB2MOVE utility to copy selected table data for an entire schema for objects from one DB2 database to another