Proven data models that save companies′ time and money developing data architectures, databases and data warehouses.
The Data Model Resource Book provides a common set of data models for specific functions common to most businesses, such as sales, marketing, order processing, contracts, shipments, invoicing, work efforts, budgeting, and accounting. Readers can apply more than one data model to their own company to meet specific data needs.
A CD–ROM ,sold separately, contains the SQL for all of the data models contained in the book in Oracle, Sybase, Informix, Microsoft SQL Server and ANSI compatable formats.
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LEN SILVERSTON (lsilvers@qdbc.com) is President of Quest Database Consulting, Inc. (http://www.qdbc.com), a Denver–based firm specializing in the delivery of database and data warehouse solutions.
W. H. INMON is the acknowledged "father of the data warehouse" and the founder of Pine Cone Systems, a data warehousing company.
KENT GRAZIANO (kgraziana@qdbc.com) is Director of Data Warehouse Services for Quest Database Consulting, Inc.
Database and data warehouse designers, this book can save you and your staff hundreds of hours of hard work and tens of thousands of dollars in systems development costs and/or consultants′ fees.
Let′s face it, most data models are made up of common constructs that have been developed countless times before in other organizations. As a consequence, each time you build a data model from scratch it′s like you′re reinventing the wheel. Clearly, developing database systems and data warehouses would be much simpler if you had your own library of "best models" to work from. Now you do.
The Data Model Resource Book arms you with a set of proven data models and data warehouse designs for the core functions shared by most businesses. You get a comprehensive set of detailed models for marketing and sales, human resources, inventory, professional services, order processing, billing, product delivery, work order management, budgeting, accounting, and more. The authors also show you how to quickly convert the logical data models into enterprise–wide data warehouses as well as data marts.
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