By Laura Reeves
Geared toward assisting enterprise and IT managers basically converse with one another, this useful booklet addresses issues straight-on and offers sensible ways to construction a collaborative info warehouse . You’ll get transparent motives of the objectives and pursuits of every level of the knowledge warehouse lifecycle whereas studying the jobs that either enterprise managers and technicians play at each one degree. Discussions of the main serious determination issues for fulfillment at every one section of the information warehouse lifecycle assist you comprehend ways that either enterprise and IT administration could make judgements that most sensible meet unified pursuits.
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Extra resources for A Manager's Guide to Data Warehousing
Keep in mind that technology alone does not address business, process, or data problems. The bottom line? Evaluate and understand all aspects of a struggling data warehouse before making drastic changes. Removing any single roadblock may not yield the desired results, as multiple roadblocks may need to be addressed with a comprehensive strategy. Getting the Right People Involved Once a data warehouse project is approved, the challenges of staffing the project team begin. Unfortunately, the best resources to help are usually already overbooked, so the available employees are assigned to the project.
Many individual contributors on a data warehouse project can recognize myopic decisions, but there may not be a way to raise these issues. Strive to provide a mechanism for raising concerns and identifying problems without fears about retribution. This can open up a dialogue that improves the decision-making process and encourages taking broader requirements or benefits into consideration. Chapter 1 ■ Gaining Data Warehouse Success Overcoming Unrealistic Expectations It is unrealistic to think that many years’ worth of data problems and challenges can be corrected in a matter of weeks.
There are many brilliant and talented people in the data warehousing industry, many of whom have different philosophies about how to design and build a data warehouse. It is worthwhile to look more closely at two of the most frequently used philosophies. The first is from Ralph Kimball and colleagues, as described in The Data Warehouse Lifecycle Toolkit, Second Edition (Wiley, 2008). Ralph Kimball is a clear thought leader in the data warehousing industry and has written several books that provide detailed information essential for practitioners.
A Manager's Guide to Data Warehousing by Laura Reeves