Data Warehouse: Architectures, Methodologies, and Technologies
Designing and building a data warehouse is a difficult undertaking and requires careful planning in three key areas, business requirements, technology selection, and warehouse implementation.
A sound data warehouse architecture is also required if business users are to take advantage of powerful web-enabled DSS tools and scalable parallel database servers for accessing and analyzing corporate data that is scattered across the Enterprise.
This in-depth seminar discusses what data warehouse and data marts are, and the benefits that can be obtained from data warehouse applications.
It explains how to plan a data warehouse or data mart, different approaches to building them, and looks at products that support warehouse and data mart construction, warehouse management, end-user access and information delivery.
- Developing a Business Plan for a Warehouse
- The Role of Warehouse Architecture
- Implementation Planning
- The Common Business Model
- Design techniques for Business Intelligence
- Assessing Data Quality
- Acquiring Data for the Warehouse
- Managing Warehouse Metadata
- Business Intelligence Tools and Analytic Application Packages
- Enterprise Information Portals