Oracle Training Oracle Support Development Oracle Apps

 E-mail Us
 Oracle Articles
New Oracle Articles

 Oracle Training
 Oracle Tips

 Oracle Forum
 Class Catalog

 Remote DBA
 Oracle Tuning
 Emergency 911
 RAC Support
 Apps Support
 Oracle Support

 SQL Tuning

 Oracle UNIX
 Oracle Linux
 Remote s
 Remote plans
 Application Server

 Oracle Forms
 Oracle Portal
 App Upgrades
 SQL Server
 Oracle Concepts
 Software Support

 Remote S


 Consulting Staff
 Consulting Prices
 Help Wanted!


 Oracle Posters
 Oracle Books

 Oracle Scripts

Don Burleson Blog 







Oracle Data Warehouse Training Course

© 2016 by Burleson Corporation

This course is taught at your Company site with up to 20 students. 

Click here for on-site course prices



Key Features

* Learn evolution of decision support systems to data warehouse.

* See data mining.

* Understand how to populate the data warehouse.

* Learn Data Warehouse development life cycle.


Course Description

This two-day seminar is designed to give the student a firm conceptual understanding of the goals and techniques that are used in data warehousing. The seminar explains the concepts and techniques in plain English, and strips away all of the marketing hype to give the student a clear understanding of how to construct a data warehouse using the new technologies. The seminar begins with a historical review of data warehousing and explains the basic construction techniques for data warehousing and contrasts them with traditional online teleprocessing systems.

Via numerous in-class exercises, the student will leave this seminar with an understanding of data warehouse design techniques for relational databases, including STAR schema design, the pre-aggregation of data, and online analytical processing (OLAP). In addition, the student will understand multidimensional databases, and be able to understand how they are created and maintained.

This seminar also introduces data warehouse "front-ends" for relational OLTP engines and explains how these tools are used in real-world situations. Lastly, the student is exposed to the data warehouse development life cycle where they will understand data extraction, data cleansing, metadata repositories, and practical tips for insuring a successful warehouse project.

Book Required

  • N/A


This course is designed for the working Oracle professional and the amount of previous experience with Oracle is incidental.  Previous experience with relational database management and SQL is helpful, but this class is self-contained and has no formal prerequisites.

Curriculum Design

This course was designed by Donald K. Burleson, an acknowledged leader in Oracle database administration.  Author of more than 20 database books, Burleson was chosen by Oracle Press to write five authorized editions, including Oracle High-Performance SQL tuning.  Burleson Corporation instructors offer decades of real world DBA experience in Oracle features, and they will share their Oracle secrets in this intense Oracle new features training.

Oracle Data Warehouse
Administration & Design


2007-2016 by Donald K. Burleson

Day One

9:00 - 10:00 The evolution of decision support systems to data warehouse

  • DSS vs. Expert systems
  • The DSS evolution
  • intimate knowledge of data - MYCIN
  • support ad-hoc ("what if") queries
  • seamless access to distributed data
  • interactive in nature
  • either fully-structured or semi-structured queries
  • non-procedural queries ("show me more like this")
  • start at summarized level & drill-down into detail
  • GUI for visual presentation
  • IBM vs. Bill Inmon - evolution of the data warehouse
  • The new business environment
  • fast reaction to market changes
  • large volumes of non-fielded data
  • terabytes of legacy data - those who forget the past are condemned to repeat it
  • the "invention" of OLAP

10:00-10:15 BREAK

10:15 - 11:00 Multi-dimensional databases - information systems for decision support

  • pivot tables - three dimensional data (PC-BASED DEMO)
  • differing levels of summarization

11:00 - 11:30 Data mining - Conceptual overview

  • parallel processors and terabyte storage.
  • hands-off analysis - identification of unobtrusive trends within data
  • Intelligent agents - used to identify trends based on "hints" from users.
  • linear regression example - trumpet of doom

11:30 - 1:00 LUNCH

1:00 - 2:00 Hardware & Software advances with data warehousing

  • Parallel processing hardware
  • MPP& SMP architectures
  • Examples of MPP data warehouses (Mead Data Central)
  • Software advances
  • AI-based query engines (ConQuest, Folio, Fulcrum)
  • Parallel database software
  • multi-dimensional databases (Essbase)
  • Enterprise computing architectures
  • common query languages - SQL wrappers UniFace EDA/SQL
  • data warehouse tools - Prism, Vality

2:00 - 2:15 Break

2:15 - 3:30 Introduction to data warehouse design

  • Data collection analysis
  • STAR schema design
  • de-normalization - pre-joining tables
  • The Role of Metadata
  • Why is metadata important? (changed procedures, usage)
  • What are the current metadata tools?
  • How to choose/create a metadata repository

3:30-3:45 BREAK

3:45-4:30 Pre-aggregating relational data for relational warehouses




  Day Two

9:00-9:45 Exercise review

9:45-10:30 Populating the data warehouse:

  • Data-driven vs. application-driven design
  • Data is collected into a data-driven design
  • Keeping the warehouse current
  • Asynchronous updating strategies
  • Data extraction and cleansing
  • Extracting from the warehouse Slicing the data warehouse - operational
  • "views" across functional areas vs. functional slices.
  • Process mgt. for staging, population, and slicing data
  • Referential integrity and data cleansing
  • Enforcing business rules across diverse systems
  • Sizing the Data Warehouse
  • Estimation of initial sizes
  • Relational determination
  • Sizing for non-relational inputs
  • Forecasting future size requirements
  • Rolling/archiving of obsolete data

10:30-10:45 BREAK

10:45-11:30 Data Warehouse development life cycle

  • The feasibility study - cost/benefit analysis
  • the issue of intangibles
  • The black-hole argument
  • The pilot study
  • survey existing applications
  • review external data sources
  • Marketing the project
  • packaging the warehouse
  • training on data warehouse usage
  • maintenance
  • Implementation Hints
  • New Trends - Data Marts, Data Trolling
  • Evaluating warehouse tools & products
  • Seeing past the marketing hype
  • Key elements to look for in a product
  • Market share
  • User success stories
  • Robust functionality/extensibility

11:30-1:00 LUNCH

2:30-5:00 Site-specific data warehouse issues

Open discussion - Bring your questions/issues


Burleson is the American Team

Note: This Oracle documentation was created as a support and Oracle training reference for use by our DBA performance tuning consulting professionals.  Feel free to ask questions on our Oracle forum.

Verify experience! Anyone considering using the services of an Oracle support expert should independently investigate their credentials and experience, and not rely on advertisements and self-proclaimed expertise. All legitimate Oracle experts publish their Oracle qualifications.

Errata?  Oracle technology is changing and we strive to update our BC Oracle support information.  If you find an error or have a suggestion for improving our content, we would appreciate your feedback.  Just  e-mail:  

and include the URL for the page.


Burleson Consulting

The Oracle of Database Support

Oracle Performance Tuning

Remote DBA Services


Copyright © 1996 -  2017

All rights reserved by Burleson

Oracle ® is the registered trademark of Oracle Corporation.

Remote Emergency Support provided by Conversational