bất kể mục tiêu của công tác phân tích có thể được. Để đạt được kết quả thú vị, chỉ cần tái cấu trúc các nguồn dữ liệu mô hình sẽ không làmMột kho dữ liệu được xây dựng để cung cấp một cách dễ dàng để truy cập nguồn dữ liệu chất lượng cao. | Chapter 7. The Process of Data Warehousing This chapter presents a basic methodology for developing a data warehouse. The ideas presented generally apply equally to a data warehouse or a data mart. Therefore when we use the term data warehouse you can infer data mart. If something applies only to one or the other that will be explicitly stated. We focus on the process of data modeling for the data warehouse and provide an extended section on the subject but discuss it in the larger context of data warehouse development. The process of developing a data warehouse is similar in many respects to any other development project. Therefore the process follows a similar path. What follows is a typical and likely familiar development cycle with emphasis on how the different components of the cycle affect your data warehouse modeling efforts. Figure 20 shows a typical data warehouse development cycle. It is certainly true that there is no one correct or definitive life cycle for developing a data warehouse. We have chosen one simply because it seems to work well for us. Because our focus is really on modeling the specific life cycle is not an issue here. What is essential is that we identify what you need to know to create an effective model for your data warehouse environment. There are a number of considerations that must be taken into account as we discuss the data warehouse development life cycle. We need not dwell on them but be aware of how they affect the development effort and understand how they will affect the overall data warehouse design and model. The life cycle diagram in Figure 20 seems to infer a single instance of a data warehouse. Clearly this should be considered a logical view. That is there could be multiple physical instances of a data warehouse involved in the environment. As an example consider an implementation where there are multiple data marts. In this case you would iterate through the tasks in the life cycle for each data mart. This approach .
