Data Modeling Essentials

Data Modeling Essentials
Author :
Publisher : Elsevier
Total Pages : 561
Release :
ISBN-10 : 9780080488677
ISBN-13 : 0080488676
Rating : 4/5 (676 Downloads)

Book Synopsis Data Modeling Essentials by : Graeme Simsion

Download or read book Data Modeling Essentials written by Graeme Simsion and published by Elsevier. This book was released on 2004-12-03 with total page 561 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data Modeling Essentials, Third Edition, covers the basics of data modeling while focusing on developing a facility in techniques, rather than a simple familiarization with "the rules". In order to enable students to apply the basics of data modeling to real models, the book addresses the realities of developing systems in real-world situations by assessing the merits of a variety of possible solutions as well as using language and diagramming methods that represent industry practice. This revised edition has been given significantly expanded coverage and reorganized for greater reader comprehension even as it retains its distinctive hallmarks of readability and usefulness. Beginning with the basics, the book provides a thorough grounding in theory before guiding the reader through the various stages of applied data modeling and database design. Later chapters address advanced subjects, including business rules, data warehousing, enterprise-wide modeling and data management. It includes an entirely new section discussing the development of logical and physical modeling, along with new material describing a powerful technique for model verification. It also provides an excellent resource for additional lectures and exercises. This text is the ideal reference for data modelers, data architects, database designers, DBAs, and systems analysts, as well as undergraduate and graduate-level students looking for a real-world perspective. - Thorough coverage of the fundamentals and relevant theory - Recognition and support for the creative side of the process - Expanded coverage of applied data modeling includes new chapters on logical and physical database design - New material describing a powerful technique for model verification - Unique coverage of the practical and human aspects of modeling, such as working with business specialists, managing change, and resolving conflict


Data Modeling Essentials Related Books

Data Modeling Essentials
Language: en
Pages: 561
Authors: Graeme Simsion
Categories: Computers
Type: BOOK - Published: 2004-12-03 - Publisher: Elsevier

GET EBOOK

Data Modeling Essentials, Third Edition, covers the basics of data modeling while focusing on developing a facility in techniques, rather than a simple familiar
Data Modeling Essentials
Language: en
Pages: 532
Authors: Graeme C. Simsion
Categories: Computers
Type: BOOK - Published: 2005 - Publisher: Morgan Kaufmann Pub

GET EBOOK

This book is generally considered to be one of the best practical guides to data modeling and is commonly praised for its clarity and usefulness. Although it is
The Data Model Resource Book, Volume 1
Language: en
Pages: 572
Authors: Len Silverston
Categories: Computers
Type: BOOK - Published: 2011-08-08 - Publisher: John Wiley & Sons

GET EBOOK

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 publi
Mastering Data Modeling
Language: en
Pages: 629
Authors: John Carlis
Categories: Computers
Type: BOOK - Published: 2000-11-10 - Publisher: Addison-Wesley Professional

GET EBOOK

Data modeling is one of the most critical phases in the database application development process, but also the phase most likely to fail. A master data modeler
Essentials of Modeling and Analytics
Language: en
Pages: 415
Authors: David B. Speights
Categories: Business & Economics
Type: BOOK - Published: 2017-09-11 - Publisher: Routledge

GET EBOOK

Essentials of Modeling and Analytics illustrates how and why analytics can be used effectively by loss prevention staff. The book offers an in-depth overview of