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Definition Example Data
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Business description of the column One or more example values Source table/column or file/field Indicates the rules used to construct the dimension value
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Source Element(s)
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Transformation Rules
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Table 18-6
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Detailed Documentation: Fact Tables, Column-Level
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18 How to Design and Document a Dimensional Model 461
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Description Lists source systems
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Notes Sources may be assigned standard abbreviations and will have appeared in the source element field of column-level documentation. For relational sources, describes how source tables are joined together; for other sources, describes the necessary sort/ merge/filter processing. Load requirements for the table that could not be concisely defined under the Transformation Rules heading for an attribute will appear here. Examples include the logic required to construct an accumulating snapshot. Use pseudo-code as necessary. This includes a description of who is allowed to see data in the column, and also highlights any data subject to mandated confidentiality. Examples include daily, weekly, or real time. Used for capacity planning. Used for capacity planning.
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Relationships
Relationships among source tables or systems
Processing Rules
Load requirements for the table that could not be defined at the column level
Security Requirements
Lists any significant security considerations for the table
Load Interval Initial Rows Annual Growth
Table 18-7
Indicates how often the table is updated Number of rows expected upon implementation Estimated number of new rows each year
Detailed Documentation: Fact Tables, Table-Level
Logical vs. Physical
The design documentation described in this section can be considered a record of the logical design or of the physical design, depending on project scope and organizational objectives. As presented, this information is primarily a logical design; physical implementation may make use of alternative data structures, such as materialized views, index-organized tables, and the like. The physical design will also include an indexing scheme, table partitioning plans, and so forth. If desired, the dimensional design effort can be extended to include such physical-level considerations. This will add additional time to the design process but eliminates the need to perform this work later. Taken together, all this information provides a useful basis for several aspects of data warehouse implementation. These include the definition of scope for implementation projects from functional and technical perspectives, the design and development of a process to load the database (the ETL process), the development of specifications for reports and other information delivery vehicles, the development and execution of quality assurance testing processes for the loading and reporting processes, and the foundation for educational courses, data dictionaries, or other system documentation for end users.
Part VI
PART VI
Tools and Documentation
Summary
Putting together a dimensional design can be a fulfilling task, regardless of project scope or architecture. This chapter has provided you with the essential tasks of a design effort and detailed requirements for the deliverables. Emphasis on Dimensional Design A dimensional design communicates business functionality and technical complexity. It can be used to represent requirements, develop a strategy, and guide the scope of implementation. Architectures emphasize these capabilities to different degrees. In all cases, dimensional design is a critical path activity that must precede design of ETL programs and reports. Developing the Design Development of a dimensional design normally includes stages for planning, interviewing, designing, and prioritizing. The planning stage includes identifying team members and other participants, planning the activities, requesting documentation, and conducting a kickoff. The interviewing stage includes sessions with business users, which will define requirements, and with developers who maintain source systems. Design activities will take place throughout the project. Stars can be worked up using a simple four-step process, augmented with some additional steps that look across stars. A design review is essential. Developing an implementation strategy requires grouping the design into candidate projects and prioritizing them. Documenting the Design Specialized tools are not necessary to document a dimensional design, though they may be helpful. The dimensional design can be documented using a word processor and spreadsheet. The design should include three levels of detail. The first captures measurement requirements by process, measurement requirements that span processes, and cross-references processes with major dimensions. This information conveys the business capabilities of the design. Top-level design includes detailed information on stars, dimension tables, and a conformance matrix. This information is supplemented with design illustrations and will be the primary focus of design reviews. Detailed design enumerates specifications for each table and column of the model, including data types, definitions, data sources, and transformation logic. This information is typically provided in tabular format. The detailed design will serve as an important reference for developers building the ETL process or reports.
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