Figure 1 shows major subject areas, while Figure 2 shows the relationship among the subject areas, mid-level models, and physical models.
In order to insure that models are aligned, any multi-layered data architecture must be able to transform its models from one layer to the next. The Resource Book gives several examples of transforming models from one level to another. One section provides standard techniques for transforming a logical model to a physical model, e.
A more interesting section shows how to transform logical models into data warehouse designs. Key transformations include …. Finally, the book also gives tips and techniques for making the general common models more industry specific, e. Chapter Ten in Volume 1 applies the data warehouse transformation rules just mentioned to derive a sample data warehouse data model.
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Purely operational data such as comments are removed. Invoice and invoice detail tables are merged. These transformations result in three subject areas appropriate for business analysis: sales, budgeting and purchasing, and human resources. The enterprise data warehouse design is suitable for decision support or for a repository, whose data will eventually be distributed to a departmental data mart.
It does not merely address the top levels of a data architecture Zachman Framework row one or two ; it provides both common and industry-specific logical models as well as data designs that may be customized to meet your requirements. The end result is a is a rich framework whose models span the higher and lower levels of a data architecture, including high-level models, logical models, warehouse designs, star schemas, and SQL scripts.
You can use the data models, designs, and scripts as templates or starting points for your own modeling, an introduction to subject areas you might not be familiar with, a reference to validate your existing models, and a help to building an enterprise data architecture.
The book provides techniques to transform models from one level to another, as well as tips and techniques for getting the appropriate levels of abstraction in the models. I have customized and used the models on many projects in the last two years. The Resource Book is an invaluable resource to me. Van Scott is a creative enterprise architect with a very strong methodological bent. A quick and reliable way to build proven databases for core business functions Industry experts raved about The Data Model Resource Book when it was first published in March because it provided a simple, cost-effective way to design databases for core business functions.
Len Silverston has now revised and updated the hugely successful 1st Edition, while adding a companion volume to take care of more specific requirements of different businesses. This updated volume provides a common set of data models for specific core functions shared by most businesses like human resources management, accounting, and project management. These models are standardized and are easily replicated by developers looking for ways to make corporate database development more efficient and cost effective.
This guide is the perfect complement to The Data Model Resource CD-ROM , which is sold separately and provides the powerful design templates discussed in the book in a ready-to-use electronic format.
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