Oracle Database 11g: Administer a Data Warehouse
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.
Description
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.
What You'll Learn
- 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
- Use parallel operations to reduce response time for data-intensive operations
- Extract, Transform, and Load data in the data warehouse
- Use the features of compression and resumable sessions
- Review the basic Oracle data warehousing concepts
Prerequisites
Required Prerequisites
- Ability to read and understand execution plans
- Data Warehouse design, implementation, and maintenance experience
- Good working knowledge of SQL and in data warehouse design and implementation
Audience
Outline
- Development Tools
- Oracle SQL Developer
- Enterprise Manager
- Sample Schemas used
- Characteristics of a Data Warehouse
- Comparing OLTP and Data Warehouses
- Data Warehouse Architectures
- Data Warehouse Design
- Data Warehouse objects
- Data Warehouse Schemas
- Optimizing Star Queries
- Introducing Bitmap Join Indexes
- Understanding Star Query Optimization and Bitmap Joined Index Optimization
- Partitioned Tables and Indexes
- Partitioning Methods
- Partitioning Types
- Partition Pruning and Star queries
- Operations That Can Be Parallelized
- How Parallel Execution Works
- Degree of Parallelism
- Parallel execution plan
- Automatice Parallelism
- Parallel Query
- Parallel DDL
- Parallel DML
- Tuning Parameters for Parallel Execution
- Balancing the Workload
- 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
- Loading Mechanisms
- Applications of External Tables
- Defining external tables with SQL*Loader
- Populating external tables with Data Pump
- Other Loading Methods
- Data transformation
- Transformation Mechanisms
- Transformation Using SQL
- Table Functions
- DML error logging
- The Need for Summary Management
- Types of Materialized Views
- Using Materialized Views for Summary Management
- Materialized View Dictionary views
- Refresh Options
- Refresh Modes
- Conditions That Effect Possibility of Fast Refresh
- Materialized View Logs
- Partition Change Tracking (PCT) Refresh
- Refresh Performance Improvements
- What Are Dimensions
- Creating Dimensions and Hierarchies
- Dimensions and Privileges
- Dimension Restrictions
- Verifying Relationships in a Dimension
- Dimension Invalidation
- 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
- 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