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18 How to Design and Document a Dimensional Model 445
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In addition, a conscious decision may have been made to deviate from best practices. For example: Not setting fact table grain at the lowest level possible ( 3) Not attempting to bring into conformance incompatible views of what might otherwise constitute a conformed dimension ( 5) Developing a snowflake to facilitate the use of a particular reporting tool ( 7) While these decisions may contradict best practices, pragmatic considerations sometimes drive choices like these. Design decisions should not be made by a data architect alone. They impact a number of important areas, and a number of important functions. The various perspectives that factor into design decisions are illustrated in Figure 18-3. This diagram shows several key roles and illustrates how each is affected by a design decision. Conspicuously absent from this group is the data architect! Perhaps the most important impact of a design decision is how it affects analytic capability. This is the primary concern represented by the user role in Figure 18-3. Someone in this role considers what business questions can be answered by a design option and what questions cannot be answered. Forgoing a bridge table, for example, may make it difficult to summarize activity across a hierarchy. The report developer considers how the design option impacts the development of queries and reports. The complexity of these tasks is directly affected by schema design choices. Some reports may be particularly difficult to develop without an accumulating
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What will it take to optimize and maintain this design
Design Decision DBA ETL Developer What are the impacts on the load process
What resources will be required How much will this cost
Figure 18-3
Different perspectives on a design choice
Part VI
PART VI
Tools and Documentation
snapshot, for example. Others may be complicated by limitations of the particular tools that will be used. Still others may be greatly streamlined through the use of derived tables. The ETL developer s perspective is crucial in determining how each option impacts the development of the load process. The impact on ETL developers is often inversely proportional to the impact on the report developer. Adding an accumulating snapshot, for example, requires development of processes to load and maintain an additional star. The ETL developer may also be impacted by choices that benefit analytic capability; a hybrid slow change, for example, satisfies more users but requires additional work. The database administrator s perspective takes into account the process of maintaining the database tables and optimizing them for performance. The database administrator will be charged with implementing features like parallelism, developing an indexing scheme, and tuning SQL. Outriggers, bridge tables, and other considerations may directly impact how the database is configured, and whether certain DBMS features will be applicable. The use of materialized views, materialized query tables, and like features will similarly impact the work of the DBA. Last, the CIO s perspective takes into account the cost of every design decision. These costs can be evaluated in terms of human resources and in terms of dollars. There may be short-term and long-term implications of each choice, as well as business and technical perspectives. This diagram does not include a data architect or design expert. Although they should not make design decisions on their own, these people do play an important role in the decision-making process. They facilitate discussion among the participants. The data architect can present the options and provide advantages and disadvantages of each. In the end, however, the final decision should balance the considerations of the groups shown in Figure 18-3.
The Design Review The primary purpose of a design review is to bring these diverse perspectives into the design process. During the planning process, participants are selected to represent each role. Each role may be represented by one individual or several. Some individuals may represent more than one perspective. Together, this group can validate or revise the design as needed. The two sponsors, one representing the business and one representing IT interests, have final authority to resolve any issues. In addition to requiring the groups depicted in Figure 18-3, the plan may also call for bringing in people with an expert understanding of specific tools that will be used, such as BI products or ETL products. If the organization has a data administration function, this perspective should be included as well, ensuring conformance to standards for representation of key data elements. A design review will take anywhere from a few hours to over a day, depending on the scope of the project, the size of the model, and the number of people involved. It should be facilitated by the lead dimensional designer and proceed in a structured format. A recommended sequence maps closely to the organization of high-level design documentation, as described later in this chapter. Specifically:
1. Review project scope and roles. 2. Perform a high-level review of the model, cross-referencing fact tables by dimension tables.
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