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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 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.

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 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:

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:

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 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.

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 by Graeme Simsion

Title Data Modeling
Author Graeme Simsion
Publisher Technics Publications Llc
Release 2007
Category Computers
Total Pages 400
ISBN 9780977140015
Language English, Spanish, and French
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Book Summary:

Graeme Simsion, author of several bestsellers including The Rosie Project, provides a detailed review of the extensive literature on data modeling and logical database design, referencing nearly 500 publications, with a strong focus on their relevance to practice. DATA MODELING THEORY AND PRACTICE is for practitioners and academics who have learned the conventions and rules of data modeling and are looking for a deeper understanding of the discipline. The coverage of theory includes a detailed review of the extensive literature on data modeling and logical database design, referencing nearly 500 publications, with a strong focus on their relevance to practice. The practice component incorporates the largest-ever study of data modeling practitioners, involving over 450 participants in interviews, surveys and data modeling tasks. The results challenge many longstanding held assumptions about data modeling and will be of interest to academics and practitioners alike. Graeme Simsion brings to the book the practical perspective and intellectual clarity that have made his Data Modeling Essentials a classic in the field. He begins with a question about the nature of data modeling (design or description), and uses it to illuminate such issues as the definition of data modeling, its philosophical underpinnings, inputs and deliverables, the necessary behaviors and skills, the role of creativity, product diversity, quality measures, personal styles, and the differences between experts and novices. Data Modeling Theory and Practice is essential reading for anyone involved in data modeling practice, research, or teaching.

Data Modeling Essentials by Elsevier Science & Technology

Title Data Modeling Essentials
Author Elsevier Science & Technology
Publisher Morgan Kaufmann
Release 2004-06-01
Category
Total Pages 550
ISBN 9780120883752
Language English, Spanish, and French
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Book Summary:

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