Bw-Data Warehouse

The topic of interest here is of data warehouse project management. Through the course of this research paper a detailed study of the various important aspects of a data warehouse project management including the followed while creating a data warehouse project. A data warehouse project calls for management expertise from people with knowledge of data warehouse and/or data warehouse project management. To inculcate the business rules of a data warehouse with the functional requirements is very challenging and should be handled with care. The implementation and testing of each module of the data warehouse also plays a major role in its functionality. The involvement of different teams to establish a good working data warehouse is required. To establish a working platform of a data warehouse it becomes necessary to involve some of the best practices that have been recommended for such large-scale projects. To establish the integrity of a data warehouse is the prime focus of a data warehouse project management. The context of this research has been the focus of some of the key areas involved in a data warehouse project and the importance of their inter-dependence.

Introduction

When the need for a data warehouse project arises, there are a few questions that come into surface. What makes the project management for a data warehouse more challenging than other applications? Why is it that a data warehouse project management requires highly experienced members?   Often, the project management for a data warehouse project calls for expertise and dedication to this project because of its complex nature.
A project plan for a data warehouse should consist of, on the bare minimum, four main areas, the business requirements, the functional requirements, implementation techniques and test cases for the data in detail.

Business Requirements:

Understanding and drafting the business requirements is the first step to creating a good project plan forin question, the... [continues]

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