The team working on your data warehouse project is probably contemplating whether or not to create a prototype. Data warehousing expertise is a must for those preparing for the corporate data warehouse. Well, what is it that you want to say? So, what do you think?

The team working on your data warehouse project is probably contemplating whether or not to create a prototype. Data warehousing expertise is a must for those preparing for the corporate data warehouse. Well, what is it that you want to say? So, what do you think?

Principles of Information Systems (MindTap Course List)

13th Edition

ISBN:9781305971776

Author:Ralph Stair, George Reynolds

Publisher:Ralph Stair, George Reynolds

Chapter5: Database Systems And Big Data

Section: Chapter Questions

Problem 15RQ

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Concept explainers

Fundamentals of Datawarehouse

A data warehouse is a data repository which is used to store large quantities of historical data that are mostly used for creating reports that help businesses to identify their weaknesses and strengths. For example, demographics data about people of a region can help businesses identify the needs and preferences of the region’s population. A data warehouse acts as a central storage for storing data that comes from one or more heterogenous sources. It also consists of data which can be old and of historical value. One of the most important applications of this type of system is that it is used for supporting business intelligence and data analytics applications.

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This is the topic that is being discussed by the team working on the data warehousing project for your company if they are debating whether or not to construct a data warehouse prototype initially. Acquiring specialised data warehousing expertise is required in order to adequately prepare for the implementation of an enterprise-wide data warehouse. What are your thoughts on this matter? What are your thoughts on this matter?
The team working on the data warehouse project is now debating whether or not they should begin by developing a prototype. You will be more prepared for the enterprise-wide data warehouse if you learn specialised skills related to data warehousing. What do you think about this? What do you think about this?
The team developing your data warehouse prototype is now discussing it. The project team is anxious about how long it will take to train for data warehousing capabilities before beginning work on an enterprise-wide data warehouse. Is it reasonable to assume that... Make sure that everyone understands what you mean.
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A prototype of your data warehouse is now being debated by the team working on it. The project team is concerned about the time and effort it will take to acquire the necessary data warehousing skills in advance of constructing an enterprise-wide data warehouse. Is it fair to say that... Make sure your meaning is very clear.
The team working on your data warehouse is now considering whether or not to create a prototype. Before building an enterprise-wide data warehouse, the project team is worried about the requirement to learn data warehousing skills. In your opinion... Clarify your thoughts completely.
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