Author: David C. Hay
Edition:
Binding: Paperback
ISBN: 0932633749
Publisher: Dorset House
Features:
Edition:
Binding: Paperback
ISBN: 0932633749
Publisher: Dorset House
Features:
Data Model Patterns
Learning the basics of a modeling technique is not the same as learning how to use and apply it. Search and download computer ebooks Data Model Patterns for free.
Categories: Data warehousing, Computers * Data Modeling & Design, Metadata. Contributors: David C. Hay - Author. Format: Hardcover. Download Data Model Patterns computer ebooks
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.
Topics
In
Data Model Patterns: A Metadata Map
Categories: Data warehousing, Computers * Data Modeling & Design, Metadata. Contributors: David C. Hay - Author. Format: Hardcover
Categories: Data warehousing, Metadata, Computers * Data Modeling & Desig. Contributors: David C. Hay - Author. Format: NOOK Book
Categories: Data warehousing, Computers * Data Modeling & Design, Metadata. Contributors: David C. Hay - Author. Format: Hardcover
Data Model Patterns Conventions of Thought, ISBN-13: 9780932633293, ISBN-10: 0932633293
Data Model Patterns Free
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
o 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.
Topics
In
