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 Mastering iOS Frameworks by David Hay
Cover of the book Microsoft System Center Data Protection for the Hybrid Cloud by David Hay
Cover of the book In the Line of Fire: How to Handle Tough Questions...When It Counts: How to Handle Tough Questions ...When It Counts by David Hay
Cover of the book Computer Security Fundamentals by David Hay
Cover of the book Making Sustainability Stick by David Hay
Cover of the book Improve your Memory by David Hay
Cover of the book Level 3: Dr Jekyll and Mr Hyde by David Hay
Cover of the book System Center Configuration Manager Current Branch Unleashed (includes Content Update Program) by David Hay
Cover of the book Level 3: The Climb by David Hay
Cover of the book Customer Service Supply Chain Management by David Hay
Cover of the book How to Argue by David Hay
Cover of the book How to Guide Conversations Toward Extraordinary Results by David Hay
Cover of the book Routing and Switching Essentials v6 Companion Guide by David Hay
Cover of the book Cisco CCIE Routing and Switching v5.0 Configuration Practice Labs by David Hay
Cover of the book Adobe ColdFusion Web Application Construction Kit 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