Building The Data Warehouse Course Description
Course Introduction
Data Warehouse - the modern way to
build systems is to separate the operational from the informational or
analytical processing and data. Today we know with certainty the following:
·
Data
warehouses are built under a different development methodology than applications.
Not keeping this in mind is a recipe for disaster.
·
Data
warehouses are fundamentally different from data marts. The two do not mix—they
are like oil and water.
·
Data
warehouses deliver on their promise, unlike many overhyped technologies that simply
faded away.
·
Data
warehouses attract huge amounts of data, to the point that entirely new
approaches to the management of large amounts of data are required.
This course is discussions of specific
technologies, about the analytical (the decision support systems (DSS)) environment
and the structuring of data in that environment, and issues to a guideline for
the designer and the developer.
Course Objectives
At the end of
the course, students will be able to:
- Explain the basic concepts underlying data warehouse
- Design, develop and deploy data warehouse
Audience:
The course is
appropriate for technical management, project advisors, technologists,
designers, testers, and developers.
Prerequisites:
Participants
should have a basic understanding of the Web, exposure to the software development
process.
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