The Entity-Relationship Model: Toward an Unified View of Data (Classic Reprint)

Peter Pin-Shan Chen

ISBN 10: 1334434115 / ISBN 13: 9781334434112

Published by Forgotten Books, 2018

About this Item

Print on Demand. This book introduces the entity-relationship model, a tool for organizing and understanding data. The model separates data into entities (discrete units of information) and relationships (the connections between them), providing a more natural and intuitive way to represent complex systems. The author, an expert in database management, explains the model's advantages over existing ones, demonstrating its ability to capture semantic information, maintain data integrity, and simplify information retrieval. The book includes a special diagrammatic technique for designing databases using the entity-relationship model, making it accessible to a wide range of readers. By providing a comprehensive framework for data modeling, this book offers valuable insights for anyone working with data management systems. This book is a reproduction of an important historical work, digitally reconstructed using state-of-the-art technology to preserve the original format. In rare cases, an imperfection in the original, such as a blemish or missing page, may be replicated in the book.

Seller Inventory # 9781334434112_0

Bibliographic Details

• Title: The Entity-Relationship Model: Toward an Unified View of Data (Classic Reprint)
• Publisher: Forgotten Books
• Publication Date: 2018
• Language: English
• ISBN 10: 1334434115
• ISBN 13: 9781334434112
• Binding: Paperback
• Condition: New
• Book Type: print-on-demand item
• Seller catalogs:
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About this title

Synopsis

Explore how the entity-relationship model shapes database design and data organization. Learn why this framework helps separate business concepts from data structures.

The book presents the entity-relationship model as a way to capture what the real world means for data. It explains how entities, relationships, and attributes are defined, and how these ideas translate into diagrams and data structures. You’ll see how a unified view of data can support data description, manipulation, and integrity across different modeling approaches.

Through clear sections, the author outlines multilevel views of data, introduces a special diagrammatic technique, and compares the entity-relationship model with network, relational, and entity-set models. The goal is to help readers reason about data in practical terms and apply the model to real database design challenges.

• Learn the four levels of logical views of data and how they relate to modeling choices.


• Understand entities, relationships, attributes, and value sets, and how they map to databases.


• See how entity-relationship diagrams guide design and support data integrity.


• Compare the entity-relationship approach with relational and other data models.

Ideal for readers of database theory and practitioners building robust data systems.