Introduction
Prerequisites and Suggested Prerequisites
Questions About You
Course Objectives
Course Agenda
Sample Schemas Used in the Course
The Sales History (SH) Schema
Oracle 11g SQL and Data Warehousing Guide Documentation
Additional Resources: Oracle By Example (OBE)
Building a Balanced Hardware Configuration
Maintaining High Throughput
Balanced System
Components of Hardware Configuration
Example of a Balanced System: 4-Node RAC Environment
Data Warehouse Hardware Configuration: Best Practices
Disk Layout and Design
Implementing S.A.M.E. Using ASM and Hardware Mirroring
Data Warehouse Logical and Physical Design
Data Warehouse Models: 3NF and Star
Industry Best Practices: When to Use Each Model
The Typical Blueprint of Physical Layers in a Data
Warehouse Environment
Optimizing 3rd Normal Form: Power, Partitioning,
Parallelism
Partitioning Strategies Example: Composite Range-Hash
Partitioning
Partition Pruning
Partition Wise Join
Optimizing Star Queries: Star Transformation
Loading Data: Best Practices
Loading Data into the Warehouse
The Three Layers of ETL
Data Loading Methods in a Data Warehouse
Loading Data from Flat Files into the Data Warehouse
Using External Tables
Pre-Processing in an External Table
Using Direct Path Load
Partition Exchange Loading
Tips for Data Loading: File Size and Formats, Compression,
and Statistics
Managing the System Workload and Resources
System Management: Keeping the Lights On for Your Data
Warehouse
Scanning a Table in Parallel
SQL Parallel Execution: Overview
Parallel Execution In Action
General Rules on When to Use Parallel Execution
Workload Monitoring Using (G)V$ Views or Oracle EM 11g
Oracle Resource Manager
Gathering Statistics
Description:
In this course, participants learn about the best
practices for implementing an enterprise data warehouse. Participants
identify the hardware elements that influence the
throughput and learn how to build a balanced hardware configuration.
Participants also review the two classic models: Third
normal form (3NF) and star schema and learn how to optimize
both models. Participants learn how to convert the
logical model into a suitable physical model. Participants also learn
how to load data efficiently into the data warehouse and
how to use partition exchange load and data compression
during the ETL process to improve performance. Finally,
participants learn to manage the system workload and
resources, to ensure an Enterprise Data Warehouse can run
at optimal performance, and explains how parallel
execution enables them to fully utilize the system. In
addition, participants describe how to gather statistics efficiently.
Learn To:
Describe how to build a balanced hardware configuration
Discuss and apply the two classic models, the third
normal form (3NF) or star schema
Describe how to convert the logical model into the
suitable physical model
Describe the various methods to load data efficiently
into the data warehouse
Use partition exchange load and data compression during
staging to improve performance
Manage the system workload and resources
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.
