Entity Relationship Model by Chen Peter (34 results)

PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.

Condition: New.

Paperback or Softback. Condition: New. The Entity-relationship Model. Book.

Condition: As New. Unread book in perfect condition.

PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.

Condition: New.

Condition: New.

HRD. Condition: New. New Book. Shipped from UK. Established seller since 2000.

HRD. Condition: New. New Book. Shipped from UK. Established seller since 2000.

Condition: As New. Unread book in perfect condition.

Condition: As New. Unread book in perfect condition.

HRD. Condition: New. New Book. Shipped from UK. Established seller since 2000.

HRD. Condition: New. New Book. Shipped from UK. Established seller since 2000.

Condition: New.

Condition: New.

Condition: As New. Unread book in perfect condition.

Paperback. Condition: New. 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. print-on-demand item.

Paperback. Condition: New. Print on Demand. This book outlines a framework for understanding the enterprise view of data using the Entity-Relationship (E-R) model. It explains how to describe and maintain an enterprise schema, a representation of the real world independent of storage considerations. The author presents fundamental operations for changing the enterprise schema, making the book useful for maintaining and adapting the enterprise view to changing circumstances. The E-R model is positioned within the broader context of database design, and the author discusses its advantages over other approaches. The work presented in this book is significant for providing a structured approach to database design and management, facilitating efficient and adaptable data organization. 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. print-on-demand item.

Taschenbuch. Condition: Neu. Neuware - In 'The Entity-relationship Model: A Basis for the Enterprise View of Data,' Peter P.S. Chen presents the foundational concepts of the Entity-Relationship (ER) model. This seminal work, originally published in 1976, introduces a high-level data model designed to facilitate database design and data management within organizations. Chen's ER model offers a structured approach to representing data entities, attributes, and relationships, providing a clear and intuitive framework for understanding and organizing complex data structures. The book explores the principles behind the ER model, illustrating how it can be used to create a comprehensive enterprise view of data. It emphasizes the importance of effective communication between database designers, users, and managers, and demonstrates how the ER model can serve as a common language for defining data requirements and designing robust database systems. This work remains a crucial resource for anyone involved in database design, data modeling, and information management.This work has been selected by scholars as being culturally important, and is part of the knowledge base of civilization as we know it. This work was reproduced from the original artifact, and remains as true to the original work as possible. Therefore, you will see the original copyright references, library stamps (as most of these works have been housed in our most important libraries around the world), and other notations in the work.This work is in the public domain in the United States of America, and possibly other nations. Within the United States, you may freely copy and distribute this work, as no entity (individual or corporate) has a copyright on the body of the work.As a reproduction of a historical artifact, this work may contain missing or blurred pages, poor pictures, errant marks, etc. Scholars believe, and we concur, that this work is important enough to be preserved, reproduced, and made generally available to the public. We appreciate your support of the preservation process, and thank you for being an important part of keeping this knowledge alive and relevant.

Buch. Condition: Neu. Neuware - In 'The Entity-relationship Model: A Basis for the Enterprise View of Data,' Peter P.S. Chen presents the foundational concepts of the Entity-Relationship (ER) model. This seminal work, originally published in 1976, introduces a high-level data model designed to facilitate database design and data management within organizations. Chen's ER model offers a structured approach to representing data entities, attributes, and relationships, providing a clear and intuitive framework for understanding and organizing complex data structures. The book explores the principles behind the ER model, illustrating how it can be used to create a comprehensive enterprise view of data. It emphasizes the importance of effective communication between database designers, users, and managers, and demonstrates how the ER model can serve as a common language for defining data requirements and designing robust database systems. This work remains a crucial resource for anyone involved in database design, data modeling, and information management.This work has been selected by scholars as being culturally important, and is part of the knowledge base of civilization as we know it. This work was reproduced from the original artifact, and remains as true to the original work as possible. Therefore, you will see the original copyright references, library stamps (as most of these works have been housed in our most important libraries around the world), and other notations in the work.This work is in the public domain in the United States of America, and possibly other nations. Within the United States, you may freely copy and distribute this work, as no entity (individual or corporate) has a copyright on the body of the work.As a reproduction of a historical artifact, this work may contain missing or blurred pages, poor pictures, errant marks, etc. Scholars believe, and we concur, that this work is important enough to be preserved, reproduced, and made generally available to the public. We appreciate your support of the preservation process, and thank you for being an important part of keeping this knowledge alive and relevant.

Condition: New. Print on Demand.

Condition: New. Print on Demand.

Condition: New. PRINT ON DEMAND.

Paperback. Condition: Brand New. 70 pages. 9.02x5.98x0.14 inches. This item is printed on demand.

Condition: New. Print on Demand.

Condition: New. Print on Demand.

Condition: New. PRINT ON DEMAND.

Leather Bound. Condition: New. Language: English. Language: English. Presenting an Exquisite Leather-Bound Edition, expertly crafted with Original Natural Leather that gracefully adorns the spine and corners. The allure continues with Golden Leaf Printing that adds a touch of elegance, while Hand Embossing on the rounded spine lends an artistic flair. This masterpiece has been meticulously reprinted in 2025, utilizing the invaluable guidance of the original edition published many years ago in 1977. The contents of this book are presented in classic black and white. Its durability is ensured through a meticulous sewing binding technique, enhancing its longevity. Imprinted on top-tier quality paper. A team of professionals has expertly processed each page, delicately preserving its content without alteration. Due to the vintage nature of these books, every page has been manually restored for legibility. However, in certain instances, occasional blurriness, missing segments, or faint black spots might persist. We sincerely hope for your understanding of the challenges we faced with these books. Recognizing their significance for readers seeking insight into our historical treasure, we've diligently restored and reissued them. Our intention is to offer this valuable resource once again. We eagerly await your feedback, hoping that you'll find it appealing and will generously share your thoughts and recommendations. Lang: - English, Pages:- 72, Print on Demand. If it is a multi-volume set, then it is only a single volume. We are specialised in Customisation of books, if you wish to opt different color leather binding, you may contact us. This service is chargeable. Product Disclaimer: Kindly be informed that, owing to the inherent nature of leather as a natural material, minor discolorations or textural variations may be perceptible. Explore the FOLIO EDITION (12x19 Inches): Available Upon Request. 72 72.

Paperback. Condition: new. Paperback. In "The Entity-relationship Model: A Basis for the Enterprise View of Data," Peter P.S. Chen presents the foundational concepts of the Entity-Relationship (ER) model. This seminal work, originally published in 1976, introduces a high-level data model designed to facilitate database design and data management within organizations. Chen's ER model offers a structured approach to representing data entities, attributes, and relationships, providing a clear and intuitive framework for understanding and organizing complex data structures. The book explores the principles behind the ER model, illustrating how it can be used to create a comprehensive enterprise view of data. It emphasizes the importance of effective communication between database designers, users, and managers, and demonstrates how the ER model can serve as a common language for defining data requirements and designing robust database systems. This work remains a crucial resource for anyone involved in database design, data modeling, and information management.This work has been selected by scholars as being culturally important, and is part of the knowledge base of civilization as we know it. This work was reproduced from the original artifact, and remains as true to the original work as possible. Therefore, you will see the original copyright references, library stamps (as most of these works have been housed in our most important libraries around the world), and other notations in the work.This work is in the public domain in the United States of America, and possibly other nations. Within the United States, you may freely copy and distribute this work, as no entity (individual or corporate) has a copyright on the body of the work.As a reproduction of a historical artifact, this work may contain missing or blurred pages, poor pictures, errant marks, etc. Scholars believe, and we concur, that this work is important enough to be preserved, reproduced, and made generally available to the public. We appreciate your support of the preservation process, and thank you for being an important part of keeping this knowledge alive and relevant. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Hardcover. Condition: new. Hardcover. In "The Entity-relationship Model: A Basis for the Enterprise View of Data," Peter P.S. Chen presents the foundational concepts of the Entity-Relationship (ER) model. This seminal work, originally published in 1976, introduces a high-level data model designed to facilitate database design and data management within organizations. Chen's ER model offers a structured approach to representing data entities, attributes, and relationships, providing a clear and intuitive framework for understanding and organizing complex data structures. The book explores the principles behind the ER model, illustrating how it can be used to create a comprehensive enterprise view of data. It emphasizes the importance of effective communication between database designers, users, and managers, and demonstrates how the ER model can serve as a common language for defining data requirements and designing robust database systems. This work remains a crucial resource for anyone involved in database design, data modeling, and information management.This work has been selected by scholars as being culturally important, and is part of the knowledge base of civilization as we know it. This work was reproduced from the original artifact, and remains as true to the original work as possible. Therefore, you will see the original copyright references, library stamps (as most of these works have been housed in our most important libraries around the world), and other notations in the work.This work is in the public domain in the United States of America, and possibly other nations. Within the United States, you may freely copy and distribute this work, as no entity (individual or corporate) has a copyright on the body of the work.As a reproduction of a historical artifact, this work may contain missing or blurred pages, poor pictures, errant marks, etc. Scholars believe, and we concur, that this work is important enough to be preserved, reproduced, and made generally available to the public. We appreciate your support of the preservation process, and thank you for being an important part of keeping this knowledge alive and relevant. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.