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Data Modeling Essentials by Graeme Simsion

Title Data Modeling Essentials
Author Graeme Simsion
Publisher Elsevier
Release 2004-12-03
Category Computers
Total Pages 560
ISBN 9780080488677
Language English, Spanish, and French
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Book Summary:

Data Modeling Essentials, Third Edition, covers the basics of data modeling while focusing on developing a facility in techniques, rather than a simple familiarization with "the rules". In order to enable students to apply the basics of data modeling to real models, the book addresses the realities of developing systems in real-world situations by assessing the merits of a variety of possible solutions as well as using language and diagramming methods that represent industry practice. This revised edition has been given significantly expanded coverage and reorganized for greater reader comprehension even as it retains its distinctive hallmarks of readability and usefulness. Beginning with the basics, the book provides a thorough grounding in theory before guiding the reader through the various stages of applied data modeling and database design. Later chapters address advanced subjects, including business rules, data warehousing, enterprise-wide modeling and data management. It includes an entirely new section discussing the development of logical and physical modeling, along with new material describing a powerful technique for model verification. It also provides an excellent resource for additional lectures and exercises. This text is the ideal reference for data modelers, data architects, database designers, DBAs, and systems analysts, as well as undergraduate and graduate-level students looking for a real-world perspective. Thorough coverage of the fundamentals and relevant theory. Recognition and support for the creative side of the process. Expanded coverage of applied data modeling includes new chapters on logical and physical database design. New material describing a powerful technique for model verification. Unique coverage of the practical and human aspects of modeling, such as working with business specialists, managing change, and resolving conflict.

Data Modeling Essentials by Graeme C. Simsion

Title Data Modeling Essentials
Author Graeme C. Simsion
Publisher Itp - Media
Release 1994
Category Computers
Total Pages 310
ISBN 9781850328773
Language English, Spanish, and French
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Book Summary:

Data Modeling Essentials is a comprehensive guide to data modeling for commercial information systems. Data modeling is presented as a design activity which offers opportunities for creativity and innovation.

Data Modeling Essentials by Graeme C. Simsion

Title Data Modeling Essentials
Author Graeme C. Simsion
Publisher
Release 2005
Category Data structures (Computer science)
Total Pages
ISBN
Language English, Spanish, and French
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Book Summary:

Data Modeling Fundamentals by Paulraj Ponniah

Title Data Modeling Fundamentals
Author Paulraj Ponniah
Publisher John Wiley & Sons
Release 2007-06-30
Category Computers
Total Pages 464
ISBN 9780470141014
Language English, Spanish, and French
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Book Summary:

The purpose of this book is to provide a practical approach for IT professionals to acquire the necessary knowledge and expertise in data modeling to function effectively. It begins with an overview of basic data modeling concepts, introduces the methods and techniques, provides a comprehensive case study to present the details of the data model components, covers the implementation of the data model with emphasis on quality components, and concludes with a presentation of a realistic approach to data modeling. It clearly describes how a generic data model is created to represent truly the enterprise information requirements.

Data Modeling for Quality by Graham Witt

Title Data Modeling for Quality
Author Graham Witt
Publisher Technics Publications
Release 2021-01-19
Category Computers
Total Pages 304
ISBN 1634629159
Language English, Spanish, and French
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Book Summary:

This book is for all data modelers, data architects, and database designers―be they novices who want to learn what’s involved in data modeling, or experienced modelers who want to brush up their skills. A novice will not only gain an overview of data modeling, they will also learn how to follow the data modeling process, including the activities required for each step. The experienced practitioner will discover (or rediscover) techniques to ensure that data models accurately reflect business requirements. This book describes rigorous yet easily implemented approaches to: · modeling of business information requirements for review by business stakeholders before development of the logical data model · normalizing data, based on simple questions rather than the formal definitions which many modelers find intimidating · naming and defining concepts and attributes · modeling of time-variant data · documenting business rules governing both the real world and data · data modeling in an Agile project · managing data model change in any type of project · transforming a business information model to a logical data model against which developers can code · implementing the logical data model in a traditional relational DBMS, an SQL:2003-compliant DBMS, an object-relational DBMS, or in XML. Part 1 describes business information models in-depth, including: · the importance of modeling business information requirements before embarking on a logical data model · business concepts (entity classes) · attributes of business concepts · attribute classes as an alternative to DBMS data types · relationships between business concepts · time-variant data · generalization and specialization of business concepts · naming and defining the components of the business information model · business rules governing data, including a distinction between real-world rules and data rules. Part 2 journeys from requirements to a working data resource, covering: · sourcing data requirements · developing the business information model · communicating it to business stakeholders for review, both as diagrams and verbally · managing data model change · transforming the business information model into a logical data model of stored data for implementation in a relational or object-relational DBMS · attribute value representation and data constraints (important but often overlooked) · modeling data vault, dimensional and XML data.

Title Data Modeling Essentials Third Edition
Author Graeme C. Simsion
Publisher
Release 2005
Category Data structures (Computer science)
Total Pages
ISBN
Language English, Spanish, and French
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Book Summary:

Data Modeling Essentials by Graeme C. Simsion

Title Data Modeling Essentials
Author Graeme C. Simsion
Publisher Coriolis Group
Release 2001
Category Computers
Total Pages 459
ISBN
Language English, Spanish, and French
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Book Summary:

This essential guide focuses on data quality and why the data model is so important, plus includes essential material on developing a real model, and covers organization of the modeling task and managing compromises.

Title Data Modeling Essentials the Morgan Kaufmann Series in Data Management Systems
Author Ellie C. Bray
Publisher CreateSpace
Release 2015-08-13
Category
Total Pages 184
ISBN 9781516865185
Language English, Spanish, and French
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Book Summary:

Thought-provoking and accessible in approach, this updated and expanded second edition of the Data Modeling Essentials (The Morgan Kaufmann Series in Data Management Systems provides a user-friendly introduction to the subject, Taking a clear structural framework, it guides the reader through the subject's core elements. A flowing writing style combines with the use of illustrations and diagrams throughout the text to ensure the reader understands even the most complex of concepts. This succinct and enlightening overview is a required reading for advanced graduate-level students. We hope you find this book useful in shaping your future career. Feel free to send us your enquiries related to our publications to [email protected] Rise Press

Data modelling systems by Graeme Simsion

Title Data modelling systems
Author Graeme Simsion
Publisher
Release 2013
Category
Total Pages
ISBN 9780123964847
Language English, Spanish, and French
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Book Summary:

Data Modeling for Quality by Graham Witt

Title Data Modeling for Quality
Author Graham Witt
Publisher Technics Publications
Release 2021-01-20
Category
Total Pages 304
ISBN 9781634629133
Language English, Spanish, and French
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Book Summary:

This book is for all data modelers, data architects, and database designers―be they novices who want to learn what's involved in data modeling, or experienced modelers who want to brush up their skills. A novice will not only gain an overview of data modeling, they will also learn how to follow the data modeling process, including the activities required for each step. The experienced practitioner will discover (or rediscover) techniques to ensure that data models accurately reflect business requirements. This book describes rigorous yet easily implemented approaches to: modeling of business information requirements for review by business stakeholders before development of the logical data model normalizing data, based on simple questions rather than the formal definitions which many modelers find intimidating naming and defining concepts and attributes modeling of time-variant data documenting business rules governing both the real world and data data modeling in an Agile project managing data model change in any type of project transforming a business information model to a logical data model against which developers can code implementing the logical data model in a traditional relational DBMS, an SQL:2003-compliant DBMS, an object-relational DBMS, or in XML. Part 1 describes business information models in-depth, including: the importance of modeling business information requirements before embarking on a logical data model business concepts (entity classes) attributes of business concepts attribute classes as an alternative to DBMS data types relationships between business concepts time-variant data generalization and specialization of business concepts naming and defining the components of the business information model business rules governing data, including a distinction between real-world rules and data rules. Part 2 journeys from requirements to a working data resource, covering: sourcing data requirements developing the business information model communicating it to business stakeholders for review, both as diagrams and verbally managing data model change transforming the business information model into a logical data model of stored data for implementation in a relational or object-relational DBMS attribute value representation and data constraints (important but often overlooked) modeling data vault, dimensional and XML data.

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