TDWI Data Warehousing Architectures: Choosing the Right Data Warehousing Approach
Prerequisite: This course assumes basic understanding of data warehousing concepts.
One-Day Course or Two-Day Workshop
Course Preview | Course Outline | Workshop Agenda
You Will Learn
- Various data warehousing architectures
- To distinguish between top-down, bottom-up, and hybrid methodologies
- The dependencies between architecture and methodology
- To assess cost, value, and time-to-delivery implications of various approaches
- A systematic approach to determine the best-fit architecture and methodology for your data warehousing program
Geared To
- DW/BI program and project managers; data architects; anyone who participates in making architecture and methodology decisions; anyone who needs to understand differences between the various approaches
This course sorts out the confusion about data warehousing architectures and methodologies. Many data management architectures (hub versus bus) can be used to successfully deploy business intelligence, and many approaches (top-down versus bottom-up) may be used to develop the data warehouse. Choosing the right architecture and development approach for your organization is a challenge influenced by many factors. This course provides guidelines and techniques to assess your requirements and make informed choices.
