Data Modeler's Workbench W/Ws
A goldmine of valuable tools for data modelers!\ Data modelers render raw data-names, addresses, and sales totals, for instance-into information such as customer profiles and seasonal buying patterns that can be used for making critical business decisions. This book brings together thirty of the most effective tools for solving common modeling problems. The author provides an example of each tool and describes what it is, why it is needed, and how it is generally used to model data for both...
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This manual introduces 20 tools for improving the speed, accuracy, flexibility, and consistency of databases, data warehouses, and operational applications. Each tool is explained using detailed examples, its applications are described, and its optimal operational and reporting environment identified. Particular attention is given to the system's foundation, the process of identifying its requirements, and the modeling of its requirements. Hoberman is a data warehouse developer. Annotation c. Book News, Inc., Portland, OR (booknews.com)
ForewordIntroductionAcknowledgmentsPt. 1Building the Foundation1Ch. 1Using Anecdotes, Analogies, and Presentations to Illustrate Data Modeling Concepts3Ch. 2Meta Data Bingo35Ch. 3Ensuring High-Quality Definitions71Ch. 4Project Planning for the Data Modeler105Pt. 2Analyzing the Requirements155Ch. 5Subject Area Analysis157Ch. 6Subject Area Modeling207Ch. 7Logical Data Analysis237Pt. 3Modeling the Requirements and Some Advice301Ch. 8The Normalization Hike and Denormalization Survival Guide303Ch. 9The Abstraction Safety Guide and Components363Ch. 10Data Model Beauty Tips427Ch. 11Planning a Long and Prosperous Career in Data Modeling455Suggested Reading465Index467
