Data Model Patterns

Conventions of Thought

Nonfiction, Computers, Programming, Systems Analysis, Database Management
Cover of the book Data Model Patterns by David Hay, Pearson Education
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: David Hay ISBN: 9780133488623
Publisher: Pearson Education Publication: July 18, 2013
Imprint: Addison-Wesley Professional Language: English
Author: David Hay
ISBN: 9780133488623
Publisher: Pearson Education
Publication: July 18, 2013
Imprint: Addison-Wesley Professional
Language: English

This is  the digital version of the printed book (Copyright © 1996).

Learning the basics of a modeling technique is not the same as learning how to use and apply it. To develop a data model of an organization is to gain insights into its nature that do not come easily. Indeed, analysts are often expected to understand subtleties of an organization's structure that may have evaded people who have worked there for years.

 

Here's help for those analysts who have learned the basics of data modeling (or "entity/relationship modeling") but who need to obtain the insights required to prepare a good model of a real business.

 

Structures common to many types of business are analyzed in areas such as accounting, material requirements planning, process manufacturing, contracts, laboratories, and documents.

 

 

In each chapter, high-level data models are drawn from the following business areas:

 

  • The Enterprise and Its World
  • The Things of the Enterprise
  • Procedures and Activities
  • Contracts
  • Accounting
  • The Laboratory
  • Material Requirements Planning
  • Process Manufacturing
  • Documents
  • Lower-Level Conventions

 

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

This is  the digital version of the printed book (Copyright © 1996).

Learning the basics of a modeling technique is not the same as learning how to use and apply it. To develop a data model of an organization is to gain insights into its nature that do not come easily. Indeed, analysts are often expected to understand subtleties of an organization's structure that may have evaded people who have worked there for years.

 

Here's help for those analysts who have learned the basics of data modeling (or "entity/relationship modeling") but who need to obtain the insights required to prepare a good model of a real business.

 

Structures common to many types of business are analyzed in areas such as accounting, material requirements planning, process manufacturing, contracts, laboratories, and documents.

 

 

In each chapter, high-level data models are drawn from the following business areas:

 

 

More books from Pearson Education

Cover of the book The Financial Times Guide to Selecting Shares that Perform by David Hay
Cover of the book Business Intelligence Roadmap: The Complete Project Lifecycle for Decision-Support Applications by David Hay
Cover of the book SPHR Exam Prep by David Hay
Cover of the book Editing with Avid Media Composer 5 by David Hay
Cover of the book My iPad (Covers iOS 8 on all models of iPad Air, iPad mini, iPad 3rd/4th generation, and iPad 2) by David Hay
Cover of the book The CERT Guide to Insider Threats by David Hay
Cover of the book Eclipse Modeling Project by David Hay
Cover of the book Navigating Network Complexity by David Hay
Cover of the book The Project Manager by David Hay
Cover of the book Why Do Good Companies Go Bad? by David Hay
Cover of the book Antibiotics by David Hay
Cover of the book Microsoft SQL Server 2012 High-Performance T-SQL Using Window Functions by David Hay
Cover of the book Microsoft System Center Optimizing Service Manager by David Hay
Cover of the book Apple Pro Training Series by David Hay
Cover of the book Microsoft SQL Server 2012 Management and Administration by David Hay
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy