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Oracle Database 11g: Administer a Data Warehouse |
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Oracle University
Oracle Database 11g: Administer a Data Warehouse
Duration: 4 Days
What you will learn
Students learn about Oracle’s Database partitioning architecture and identify the benefits of partitioning. Students also
use parallel operations to reduce response time for data-intensive operations. Participants extract, transform, and load
data into an Oracle database warehouse. Students also use materialized views to improve the data warehouse
performance. Students also learn how query rewrite can improve a query’s performance. Students use the SQL Access
Advisor to optimize the entire workload. Finally, students learn how to tune materialized views for fast refresh and query
rewrite and how to use the compression and resumable sessions features.
Learn to:
Implement partitioning
Use parallel operations to reduce response time
Extract, Transform, and Load data
Create, use, and refresh materialized views to improve the data warehouse performance
Use Query rewrite to quickly answer business queries using materialized views
Use SQL Access Advisor and PL/SQL procedures to tune materialized views for fast refresh and query rewrite
Audience
Application Developers
Data Warehouse Administrator
Data Warehouse Developer
Database Administrators
Support Engineer
Technical Consultant
Prerequisites
Required Prerequisites
Oracle 10g: Data Warehousing Fundamentals
Oracle Database 11g: Administration Workshop I
Oracle Database 11g: Performance Tuning
Suggested Prerequisites
Good working knowledge of data warehouse design
Ability to read and understand execution plans
Good working knowledge of SQL and in data warehouse design and implementation
Good working knowledge of SQL
Course Objectives
Review the basic Oracle data warehousing concepts
Use parallel operations to reduce response time for data-intensive operations
Extract, Transform, and Load data in the data warehouse
Create, use, and refresh materialized views to improve the data warehouse performance
Use Query rewrite to quickly answer business queries using materialized views
Use SQL Access Advisor and PL/SQL procedures to tune materialized views for fast refresh and query rewrite
Use the features of compression and resumable sessions
Course Topics
Introduction
Development Tools
Oracle SQL Developer
Enterprise Manager
Sample Schemas used
Data Warehouse Design: Overview
What is a Data Warehouse?
Characteristics of a Data Warehouse
Comparing OLTP and Data Warehouses
Data Warehouse Architectures
Data Warehouse Design
Data Warehouse objects
Data Warehouse Schemas
Star Transformation
Partitioning Basics
Partitioned Tables and Indexes
Partitioning Methods
Partitioning Types
Partition Pruning and Star queries
Parallelism Concepts
Operations That Can Be Parallelized
How Parallel Execution Works
Degree of Parallelism
Parallel execution plan
Parallel Operations in Data Warehouses
Parallel Query
Parallel DDL
Parallel DML
Tuning Parameters for Parallel Execution
Balancing the Workload
ETL: Extraction and Transportation
Extraction Methods
Capturing Data With Change Data Capture
Sources and Modes of Change Data Capture
Publish and Subscribe Model: The Publisher and the Subscriber
Synchronous and Asynchronous CDC
Asynchronous AutoLog Mode and Asynchronous HotLog Mode
Transportation in a Data Warehouse
Transportable Tablespaces
ETL: Loading
Loading Mechanisms
Applications of External Tables
Defining external tables with SQL*Loader
Populating external tables with Data Pump
Other Loading Methods
ETL: Transformation
Data transformation
Transformation Mechanisms
Transformation Using SQL
Table Functions
DML error logging
Materialized Views
The Need for Summary Management
Types of Materialized Views
Using Materialized Views for Summary Management
Materialized View Dictionary views
Refreshing Materialized Views
Refresh Options
Refresh Modes
Conditions That Effect Possibility of Fast Refresh
Materialized View Logs
Partition Change Tracking (PCT) Refresh
Refresh Performance Improvements
Working With Dimensions
What Are Dimensions
Creating Dimensions and Hierarchies
Dimensions and Privileges
Dimension Restrictions
Verifying Relationships in a Dimension
Dimension Invalidation
Query Rewrite
Query Rewrite: Overview
What Can be Rewritten
Conditions Required for Oracle to Rewrite a Query
Query Rewrite guidelines
Setting Initialization Parameters for Query Rewrite
Query Rewrite Methods
Partition Change Tracking (PCT) and Query Rewrite
Query Rewrite Enhancement to Support Queries Containing Inline Views
Using the SQL Access Advisor, Compression, and Resumable Sessions
SQL Access Advisor: Usage Model
Setting Initial Options
Specifying the Workload Source
Recommendation Options
Schedule and Review
PL/SQL Procedure Flow
Tuning Materialized Views for Fast Refresh and Query Rewrite
Table Compression and Resumable Sessions
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