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Data
Warehousing
Essentials
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Extract
Transform Load
(ETL)
Project
Management
Essentials of Successful
Data Warehousing Seminar
The intensive two-day course that
teaches you the secrets
of successful Data Warehousing.
The First Place Group Essentials of Successful Data
Warehousing and Data Marts Seminar will give you a
comprehensive picture of the field and an understanding of
the great opportunities that it holds for your organization.
You will learn what makes data warehousing different from
traditional operations oriented data processing. A step by step
methodology for planning and managing data warehousing
projects will be presented which will greatly increase the
probability of success. We believe that involving the right
people (sponsor, business area experts, project leader, and
technical people) is a critical success factor.
The seminar provides insights to data warehousing
management questions including:
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Email
info@firstplacelearning.com
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Call: 612281-2998
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Testamonials
"Excellent
presentation - very
crisp and
effective ..."
"The seminar was
very practical and
addressed our
needs ..."
"I came away with
some new ideas and
ways of thinking ..."
What should be included in a Data Warehouse plan?
How do we assure that the result is what the business
really needs?
How can resources and time be accurately estimated?
How can risks be quantified and reduced?
How can be scope, objectives, and requirements be
defined?
What are the major mistakes to avoid?
How can the project be tracked and controlled?
Designing and implementing a data warehouse or data mart is
the focus of much of the seminar. Data warehouse databases
are designed using a technique known as multidimension
modeling which is covered in depth. This approach enables
the users of the data warehouse to quickly ask and receive
answers. Seminar participants will learn by case study
examples as well as by "hands on" experience.
The data warehouse must be supported by a technical
architecture, the pieces that must fit together to make the data
warehouse work. Students will learn about each major
component and how to make successful choices in putting
those components together into a data warehouse.
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Data Warehousing Essentials Seminar - First Place Learning - Goal Driven Trai... Page 2 of 5
These seminars include an effective mix of exercises and
presentations. Our Tricks and Traps sections will show you
how to avoid problems and make good choices. Three
database levels are included: data mart, integrated data mart,
and data warehouse. Students will learn how to create a data
warehouse that is flexible enough to answer many questions
without reprogramming. In addition, they will learn how to
select and use data warehouse components.
What You Will Learn
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HOW TO plan and organize a successful data
warehouse project
HOW TO get the right people involved in the project
HOW TO determine warehouse business requirements
HOW TO create an architecture of data warehouses
and data marts
HOW TO design a data warehouse/data mart
HOW TO load the data warehouse
HOW TO select data going into the data warehouse
HOW TO avoid traps and pitfalls
HOW TO to present information to users
HOW TO manage the ongoing data warehouse
What You Get
You will receive a comprehensive manual and Data
Warehousing toolkit that provides useful checklists, examples
and reference material that will help you in your data modeling
efforts. The usefulness of the course continues long after the
class sessions.
You will receive a Certificate of Completion upon successful
completion of the course.
Who Should Attend
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Data Warehouse/Data Mart Practioners
Data Warehouse/Data Mart Users
Information Technology Managers
Project Managers
Project Team Members
Database Administrators
Data Modelers
Seminar Outline
I. Introduction to Data
Warehouse
VI. Data
Warehouse
Technical
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Decisions Impact the
Bottom Line
Operational Data Versus
Warehouse Data
Data timeliness,
consistency, and
comparability
Decision Support Goals
What Data Warehouse IS
and IS NOT
II. Planning and
Organizing the Data
Warehouse Project
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Defining Scope and
Objectives
Avoiding Major Data
Warehouse Mistakes
Data Warehouse vs.
Data Mart
Getting the Right
Sponsor
Forming the Team
Producing the Project
Plan
Determining the Budget
Training the Team
Architecture
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VII. Metadata
Management
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III. Data Warehouse
Methodology
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Differences between DW
Methodology and
Traditional IT
Methodology
Initiation : Evaluating
Readiness
Analysis : Analysis and
Requirements
Determination
Design : Data
Warehouse Model (Star
Schema/Multidimensional
Model)
Design : Technical
Architecture
Design : Data Source
Design/Choice
Construct : Data Load
Construct :
Presentation/Analysis
Metadata
Input Sources
Extracting
Middleware
Physical
Storage and
Operation
Database
Management
System
Mapping,
Transforming,
Enriching, and
Loading
Communicating
Analyzing and
Presenting
Managing,
Operating, and
Securing
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What is
Metadata?
How can
Metadata be
Managed?
Extracting
Metadata from
Legacy
Systems
VIII, Input
Sources
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Recognizing
Business
Events
Identifying the
System of
Record
Modeling the
Input
Technology of
the Input
Mapping
Operational
Data Model to
Data
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Tools
Rollout : Deploy in
Production
Iterate : Make
Incremental Changes
IV. Determining
Requirements
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IX. Extracting
Data
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RAD Methodology
Group Methods
Interview
Homework
Enterprise Goals and
Objectives
V. Creating the
Warehouse Model
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Top Down /
Requirements Driven
Approach
Multidimensional
Model/Star Schema
Support Roll Up, Drill
Down, and Pivot Analysis
Fact Tables and
Dimension Tables
Time Phased / Temporal
Data
Operational Logical and
Physical Data Models
Normalization and
Denormalization
Model Granularity :
Enterprise vs. Business
Area
Warehouse
Data Model
Improving Data
Quality
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Extract Tools
Programmer
Written
Applications
X. Transforming
and Loading Data
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Loading and
Transforming
Tools
DBMS Utilities
Programmer
Written
Applications
XI. Analyzing and
Presenting Data
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Query Tools
Reporting
Tools
Analysis Tools
Data Mining
Tools
Fixed Reports
XII. Implementing
the Data
Warehouse
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Data and
Application
Readiness
Testing
Training
Being
Responsive
XIII. Operating
and Improving
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Data Warehousing Essentials Seminar - First Place Learning - Goal Driven Trai... Page 5 of 5
the Data
Warehouse
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Change Will
Continue
Monitoring and
Securing the
Data
Warehouse
Post Project
Review
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1/11/2005