veloping 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

veloping 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

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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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.
Your data warehousing project group should make the decision of whether or not to prototype a data warehouse before actually putting it into operation. The members of the project group are especially concerned about developing skills in data warehousing prior to beginning on the installation of the enterprise-wide data warehouse. You are aware of what is going through my mind. Give specifics about your ideas.
The decision to prototype a data warehouse before it is put into use is up to the data warehousing project team. Prior to starting the installation of the enterprise-wide data warehouse, the project group members are particularly worried about developing their data warehousing abilities. My ideas are known to you. Give details about your suggestions.
If your data warehousing project team is considering whether to construct a data warehouse prototype first, this is what they are discussing. In order to be ready for the enterprise-wide data warehouse, you'll need to learn some data warehousing basics. So, what are your thoughts? I want to hear what you have to say.
Your data warehouse prototype is now being discussed by the team constructing it. Concerns about how long it would take to acquire data warehousing skills have plagued the project team as they prepare to launch an enterprise-wide data warehouse. Is it fair to suppose that... Make sure that your meaning is clear.
Your data warehousing team is now arguing whether or not they should construct a prototype first. Before beginning construction on the enterprise-wide data warehouse, the team working on the project is worried about the need of gaining experience in data warehousing. What say you? Explain your thoughts in further detail.
a comprehensive description of what a data warehouse is and how it works. For that matter, what was the initial intent behind a data warehouse?
The decision of whether or not to prototype a data warehouse prior to putting it into operation is on the data warehousing project group that you have. The members of the project group are especially concerned about the issue of obtaining skills in data warehousing prior to commencing on the installation of the enterprise-wide data warehouse. You are aware of what I am contemplating. Give specifics about your ideas.
The choice to prototype a data warehouse before bringing it into operation is made by the data warehousing project group. Members of the project group are particularly worried about acquiring data warehousing skills before beginning the implementation of the enterprise-wide data warehouse. You are aware of what I am thinking. Provide details about your ideas.
There has been some discussion on your data warehouse team about whether or not a prototype should be created initially. The project team is anxious about starting work on the enterprise-wide data warehouse until enough data warehousing expertise has been gathered. Do you have any thoughts? Explore your thoughts in further detail.
Your data warehousing project team may select whether or not to create a data warehouse prototype before putting it into action. The members of the project group are especially anxious about learning data warehousing skills before beginning the installation of the enterprise-wide data warehouse. You can read my mind. Explain your recommendations in further depth.
Your data warehouse team is currently debating whether or not to build a prototype first. The project team is concerned about the requirement to gather data warehousing expertise before commencing development on the enterprise-wide data warehouse. What do you think? Discuss your opinions in further depth.