Oracle Database 11g: Administer a Data Warehouse

Description

This course will help you understand the basic concepts of administering a data warehouse. You'll learn to use various Oracle Database features to improve performance and manageability in a data warehouse.

Benefit

Expert instructors will also teach you how to extract, transform and load data into an Oracle database warehouse. Discover how to use SQL Access Advisor to optimize the entire workload. Use materialized views to improve data warehouse performance and learn how query rewrites can improve performance

Content

Oracle Database 11g Release 2 (11.2.0.2) Patch Set 1

Course

• 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

Methodology

1
Presentation
2
Discussion
3
Pratice Activities
4
Case Studies

Evaluation

1
Pre Test
2
Post Test
3
Certification Exam

Duration

4 Days

Target Audience

Technical Consultant , Data Warehouse Administrator , Data Warehouse Developer , Application Developer , Database Administrators , Support Engineer

Schedule

Sep 2017Dec 2017
04-0704-07