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Data Modelling for Business

Autor Steve Hoberman, Donna Burbkan
en Limba Engleză Paperback – 25 mar 2009
Did you ever try getting Business and IT to agree on the project scope for a new application? Or try getting the Sales & Marketing department to agree on the target audience? Or try bringing new team members up to speed on the hundreds of tables in your data warehouse -- without them dozing off? You can be the hero in each of these and hundreds of other scenarios by building a High-Level Data Model. The High-Level Data Model is a simplified view of our complex environment. It can be a powerful communication tool of the key concepts within our application development projects, business intelligence and master data management programs, and all enterprise and industry initiatives. Learn about the High-Level Data Model and master the techniques for building one, including a comprehensive ten-step approach. Know how to evaluate toolsets for building and storing your models. Practice exercises and walk through a case study to reinforce your modelling skills.
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Specificații

ISBN-13: 9780977140077
ISBN-10: 0977140075
Pagini: 285
Ilustrații: tables & b/w illus
Dimensiuni: 260 x 180 x 18 mm
Greutate: 0.6 kg
Editura: Technics Publications LLC
Colecția Technics Publications LLC (US)
Locul publicării:United States

Recenzii

Watch the author describe this informative book in this short video. Learn about the High-Level Data Model and master the techniques for building one, including a comprehensive ten-step approach and hands-on exercises to help you practice topics on your own. In this book, we review data modeling basics and explain why the core concepts stored in a high-level data model can have significant business impact on an organization. We explain the technical notation used for a data model and walk through some simple examples of building a high-level data model. We also describe how data models relate to other key initiatives you may have heard of or may be implementing in your organization.