By Laura Reeves
Aimed toward supporting enterprise and IT managers sincerely speak with one another, this beneficial e-book addresses issues straight-on and gives functional easy methods to development a collaborative facts warehouse . You’ll get transparent causes of the objectives and targets of every level of the information warehouse lifecycle whereas studying the jobs that either company managers and technicians play at each one level. Discussions of the main severe determination issues for fulfillment at every one part of the information warehouse lifecycle assist you comprehend ways that either enterprise and IT administration could make judgements that most sensible meet unified ambitions.
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Additional resources for A Manager's Guide to Data Warehousing
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. In many organizations, addressing fundamental data problems can actually take years.
Specific hardware, software tools, and technologies also emerged. These have grown into what we know as the data warehousing industry today. In spite of these technical advancements, organizations still struggle with some basic data issues: Direct data access: You can’t directly access the data; you have to request it from a data systems department. 11 12 Part I ■ The Essentials of Data Warehousing Data usefulness: You can’t get the data you need; what is collected is not useful for your purposes.
With so much buzz about data warehousing, it is often assumed that everyone already knows the basics. However, many 3 4 Part I ■ The Essentials of Data Warehousing people are being exposed to these concepts for the first time. To ensure a common understanding, it is worth taking the time to boil things down to the essence of data warehousing. What Is a Data Warehouse? A data warehouse (DW) is the collection of processes and data whose overarching purpose is to support the business with its analysis and decision-making.