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ora10g004-ver1
Oracle Database 10g: Implement Parallel SQL & Partitioning For Data Warehouses (3 Days)
Description
This Oracle 10g courseware training guide book will equip database professionals with the advanced skills needed to administer data warehouses. As the size of databases and data warehouses increases, one cannot rely upon the default features of the Oracle database to sufficiently process such massive volumes of information. One must employ advanced features intended for such environments. In fact, these features are at the same time, among the most powerful tuning options available within the Oracle database yet some of the least understood and utilized.
Audience
The target audience for this course is database administrators, data warehouse administrators, and senior application developers. In fact, managers and any other information technology or database professionals who will interact with very large databases (VLDB) would benefit from this course.
Mandatory Prerequisites
The following Sideris courses are mandatory prerequisites for taking this course:
• The Sideris course ORACLE DATABASE 10G: INTRODUCTION TO SQL – COMPLETE LIBRARY
• The Sideris course ORACLE DATABASE 10G: SQL TUNING
Recommended Prerequisites
• The Sideris course ORACLE DATABASE 10G: ARCHITECTURE FOR DEVELOPERS
Suggested Next Courses
The following course is recommended because the outline you are now viewing (ora10g004) is itself a mandatory prerequisite for the following course title:
• The Sideris course ORACLE DATABASE 10G: DATA WAREHOUSES I
Objectives
The purpose of this course is to equip database professionals with the skills to utilize such advanced features as these:
• The full range of table partitioning options, including range, hash, list, and composite partitioning schemes.
• The full range of index partitioning options, including local and global partitioned indexes.
• Discuss the broad conceptual rationales one may base partition schemes on. These various possibilities are illustrated using two different sample data models.
• The performance benefits of using database object partitions and monitoring the execution of SQL statements under the control of the partition-aware Optimizer.
• Understanding the operations within a complex SQL execution plan which operates in parallel upon partitioned objects.
• General principles of parallel processing and their use in Oracle database technology.
• The specific feature of parallel SQL execution and the configuration options available to activate and administer this technology.
Course Outline
ABOUT PARTITIONING & PARALLELIZATION
• ABOUT THE ARCHITECTURE
• METHODS OF PARTITIONING
CREATING PARTITIONED TABLES
• CREATE A RANGE PARTITIONED TABLE
• CREATE A HASH PARTITIONED TABLE
• CREATE A LIST PARTITIONED TABLE
• CREATE A RANGE-HASH PARTITIONED TABLE
• CREATE A RANGE-LIST PARTITIONED TABLE
• PARTITION SCENARIOS
MANAGING TABLE PARTITIONS
• USING SUBPARTITION TEMPLATES
• MANAGING TABLE PARTITIONS & SUBPARTITIONS
CREATING & MANAGING PARTITIONED INDEXES
• ABOUT PARTITIONED INDEXES
• CREATE LOCAL PARTITIONED INDEXES
• CREATE GLOBAL PARTITIONED INDEXES
• TABLE MAINTENANCE IMPACT ON INDEX PARTITIONS
• MANAGING INDEX PARTITIONS & SUBPARTITIONS
• EQUI-PARTITIONING OF TABLES
THE PARTITION-AWARE OPTIMIZER
• SETUP FOR OPTIMIZATION MONITORING
• PARTITION-AWARE OPTIMIZATION
PARALLEL PROCESSING WITHIN THE ORACLE DATABASE
• HARDWARE CONFIGURATIONS
• ORACLE INSTANCE PARALLEL PROCESSING
• ABOUT DATABASE PARALLEL SQL EXECUTION
ENABLING & TUNING PARALLEL SQL EXECUTION
• ENABLING PARALLEL EXECUTION
• CONTROLLING THE DEGREE OF PARALLELISM
• MANUALLY TUNING PARALLEL OPERATIONS
• About PARALLEL_THREADS_PER_CPU & The Default DOP
• PARALLEL PROCESSING OPTIMIZER HINTS
• [NO]PARALLEL
• [NO]APPEND
• [NO]PARALLEL_INDEX
• EXPLAINING A PARALLEL EXECUTION PLAN
ADVANCED TUNING OF PARALLEL EXECUTION
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