Duration: 4 Days
What you will learn
Participants learn about Oracle’s Database partitioning architecture and how to identify the benefits of partitioning in
addition to using parallel operations to reduce response time for data-intensive operations. Participants extract,
transform, and load data into an Oracle database warehouse. Participants also use materialized views to improve the
data warehouse performance and learn how query rewrites can improve performance.
The usage of SQL Access Advisor to optimize the entire workload, tuning materialized views for fast refresh and query
rewrite and also how to use the compression and resumable sessions features are discussed.
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
A Live Virtual Class (LVC) is exclusively for registered students; unregistered individuals may not view an LVC at any
time. Registered students must view the class from the country listed in the registration form. Unauthorized recording,
copying, or transmission of LVC content may not be made.
Audience
Application Developers
Data Warehouse Administrator
Data Warehouse Developer
Database Administrators
Support Engineer
Technical Consultant
Related Training
Required Prerequisites
Ability to read and understand execution plans
Good working knowledge of SQL and in data warehouse design and implementation
Data Warehouse design, implementation, and maintenance experience
Course Objectives
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
Review the basic Oracle data warehousing concepts
Course Topics
Introduction
Development Tools
Oracle SQL Developer
Enterprise Manager
Sample Schemas used
Data Warehouse Design: Overview
Characteristics of a Data Warehouse
Comparing OLTP and Data Warehouses
Data Warehouse Architectures
Data Warehouse Design
Data Warehouse objects
Data Warehouse Schemas
Data Warehouse Tuning Considerations
Optimizing Star Queries
Introducing Bitmap Join Indexes
Understanding Star Query Optimization and Bitmap Joined Index Optimization
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
Automatice Parallelism
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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