Data Modeling Essentials

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Data Modeling Essentials

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Author : Graeme C. Simsion
language : en
Publisher:
Release Date : 2001

Data Modeling Essentials written by Graeme C. Simsion and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2001 with Computers categories.

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

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Author : Graeme Simsion
language : en
Publisher: Newnes
Release Date : 2015-03-29

Data Modeling Essentials written by Graeme Simsion and has been published by Newnes this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-03-29 with Computers categories.

If you are seeking expert tutelage for data modelling tools and techniques, you need look no further. Regardless of your level of expertise, as a data analyst, data modeler, data architect, database designer, database application developer, database administrator, business analysts, or systems designers, this book will serve as an invaluable resource in your effort to build reliable and effective data models. Beginning with the basics, this book provides a thorough grounding in theory before guiding the reader through the various stages of applied data modelling and database design. Later chapters delve into advanced topics and enterprise data modelling, covering business rules, data warehousing, data migration, and more. This new and expanded edition updates existing content where current practice dictates and adds new content on Modelling XML, Master and Reference Data, Mapping Between Models, Data Migration, and other areas of intense interest to the data modelling community. NEW TO THIS EDITION • Enhanced contextual treatment of data modeling by providing more examples of data models and their quality in examining where the benefits derive. • NEW chapter on Master and Reference Data Management • NEW chapter of Data Migration • NEW chapter on modeling XML messages • NEW chapter on Mapping Between Data Models The perfect balance of theory and practice giving you both the foundation and the tools to develop high quality data models. Perfect reference for the reflective practitioner providing clear and accessible guidance to data modeling techniques. An invaluable resource containing vast amounts of useful and well illustrated information to those involved in data modeling, from the novice to the expert.

Data Modelling Systems

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Author : Graeme Simsion
language : en
Publisher:
Release Date : 2013

Data Modelling Systems written by Graeme Simsion and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013 with categories.

Data Modeling Essentials

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Author : Graeme C. Simsion
language : en
Publisher:
Release Date : 1994

Data Modeling Essentials written by Graeme C. Simsion and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1994 with Computers categories.

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 The Morgan Kaufmann Series In Data Management Systems

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Author : Ellie C. Bray
language : en
Publisher: CreateSpace
Release Date : 2015-08-13

Data Modeling Essentials The Morgan Kaufmann Series In Data Management Systems written by Ellie C. Bray and has been published by CreateSpace this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-08-13 with categories.

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

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Author : Graeme Simsion
language : en
Publisher:
Release Date : 2007

Data Modeling written by Graeme Simsion and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007 with Business & Economics categories.

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 Third Edition

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Author : Graeme C. Simsion
language : en
Publisher:
Release Date : 2005

Data Modeling Essentials Third Edition written by Graeme C. Simsion and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005 with Data structures (Computer science) categories.

Data Modeling Essentials

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Author : Elsevier Science & Technology
language : en
Publisher: Morgan Kaufmann
Release Date : 2004-06-01

Data Modeling Essentials written by Elsevier Science & Technology and has been published by Morgan Kaufmann this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004-06-01 with categories.

Data Modeling Fundamentals

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Author : Paulraj Ponniah
language : en
Publisher: Wiley-Interscience
Release Date : 2007-07-20

Data Modeling Fundamentals written by Paulraj Ponniah and has been published by Wiley-Interscience this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-07-20 with Computers categories.

Publisher description

Data Modeling For Quality

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Author : Graham Witt
language : en
Publisher: Technics Publications
Release Date : 2021-01-20

Data Modeling For Quality written by Graham Witt and has been published by Technics Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-01-20 with categories.

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.