2 edition of Data Warehouse Project Management found in the catalog.
|LC Classifications||December 15, 2000|
|The Physical Object|
|Pagination||xvi, 131 p. :|
|Number of Pages||76|
nodata File Size: 7MB.
0201616351P04062001 From the Back Cover "Anyone who finds Data Warehouse Project Management has found for themselves a veritable gold mine, a wealth of wisdom and experience from some real pros.
The balance is to have sufficient people to do the work and yet few enough to ensure effective communication between them.
This can produce a grid as illustrated. Buy this book if you want to learn - and want to know how to deploy - agile project management techniques in your data warehouse business intelligence DWBI program.
Cleaning the data — they assume the data is clean• This work addresses these challenges and provides a roadmap to managing every aspect of data warehouse design, development, and implementation. Reviewing and editing requirements, specifications, business processes and recommendations related to proposed solution.
This book provides the first complete coverage of almost any possible issues, risk and problem arising in a DW project. Chapter 10, "Data Models," examines the analytical purpose and usefulness of a logical data model, the primary technique for data integration, as well as the database design purpose of a physical data model. IT set expectations to the business IT are often guilty of being over-optimistic about the point at which the benefit will occur: o The initial phases of a project are about understanding and infrastructure.
Be sure to add some contingency time in case the project does not go as planned.
Using the "Data Warehouse Project Management" is a great method for learning while doing, especially if you don't have the time to train employees in this discipline.
Happier because they are learning and their contribution is recognised• Chapter 2, "Goals and Objectives," has an in-depth discussion about the deficiencies of traditional decision support systems and addresses the short-term goals as well as the long-terms goals of data warehousing.
Chapter 5, "Satisfying the User," emphasizes the importance of understanding the business and then examines all areas that either affect or are affected by the users, from gathering the requirements from them to communicating with them.
If database entities are no longer used then de-commission them and the ETL that feeds them.