My first Publication Agile-Data-Warehouse-Design-eBook | Page 46

How to Model a Data Warehouse 25 Table 1-3 BEAM✲ Diagram Types D IAGRAM U SAGE BEAM✲ (Example Data) Table Modeling business events and dimensions one at a time using example data to document their 7Ws details. D ATA M ODEL T YPE A UDIENCE P RINCIPAL C HAPTER Business Logical Physical Data Modelers Business Analysts Business Experts Stakeholders BI Users 2 Business Data Modelers Business Analysts Business Experts Stakeholders BI Users 3 Business Data Modelers Business Analysts Business Experts Stakeholders BI Users 8 Business Logical Physical Data Modelers Business Analysts Business Experts Stakeholders BI Users Data Modelers ETL Developers BI Developers 4 Logical Physical Data Modelers DBAs DBMS ETL Developers BI Developers Testers 5 Example data tables are also used to describe physical dimension and fact tables and explain dimensional design patterns. Hierarchy Chart Discovering hierarchical relation- ships within dimensions and prompting stakeholders for dimensional attributes. Hierarchy charts are also used to help define BI drill-down settings and aggregation levels for report and OLAP cube definition. Timeline Exploring time relationships between business events. Timelines are used to discover when details, process sequences and duration facts for measuring process efficiency. Event Matrix Documents the relationships between all the events and dimensions within a model. Event matrices record events in value-chain sequences and promote the definition and reuse of conformed dimensions across dimensional models. They are used instead of high-level ERDs to provide readable overviews of entire data warehouses or multi- star schema data marts. Enhanced Star Schema Visualizing individual dimensional models and generating physical database schemas. Enhanced star schemas are standard stars embellished with BEAM✲ short codes to record dimensional properties and design techniques not directly supported by generic data modeling tools.