Data Modeling For Quality
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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.
Developing High Quality Data Models
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Author : Matthew West
language : en
Publisher: Elsevier
Release Date : 2011-02-07
Developing High Quality Data Models written by Matthew West and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-02-07 with Computers categories.
Developing High Quality Data Models provides an introduction to the key principles of data modeling. It explains the purpose of data models in both developing an Enterprise Architecture and in supporting Information Quality; common problems in data model development; and how to develop high quality data models, in particular conceptual, integration, and enterprise data models. The book is organized into four parts. Part 1 provides an overview of data models and data modeling including the basics of data model notation; types and uses of data models; and the place of data models in enterprise architecture. Part 2 introduces some general principles for data models, including principles for developing ontologically based data models; and applications of the principles for attributes, relationship types, and entity types. Part 3 presents an ontological framework for developing consistent data models. Part 4 provides the full data model that has been in development throughout the book. The model was created using Jotne EPM Technologys EDMVisualExpress data modeling tool. This book was designed for all types of modelers: from those who understand data modeling basics but are just starting to learn about data modeling in practice, through to experienced data modelers seeking to expand their knowledge and skills and solve some of the more challenging problems of data modeling. - Uses a number of common data model patterns to explain how to develop data models over a wide scope in a way that is consistent and of high quality - Offers generic data model templates that are reusable in many applications and are fundamental for developing more specific templates - Develops ideas for creating consistent approaches to high quality data models
The Data Modeling Handbook
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Author : Michael C. Reingruber
language : en
Publisher: John Wiley & Sons
Release Date : 1994-12-17
The Data Modeling Handbook written by Michael C. Reingruber and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 1994-12-17 with Computers categories.
This practical, field-tested reference doesn't just explain the characteristics of finished, high-quality data models--it shows readers exactly how to build one. It presents rules and best practices in several notations, including IDEFIX, Martin, Chen, and Finkelstein. The book offers dozens of real-world examples and go beyond basic theory to provide users with practical guidance.
The Data Model Resource Book
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Author : Len Silverston
language : en
Publisher: John Wiley & Sons
Release Date : 2011-03-21
The Data Model Resource Book written by Len Silverston and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-03-21 with Computers categories.
This third volume of the best-selling "Data Model Resource Book" series revolutionizes the data modeling discipline by answering the question "How can you save significant time while improving the quality of any type of data modeling effort?" In contrast to the first two volumes, this new volume focuses on the fundamental, underlying patterns that affect over 50 percent of most data modeling efforts. These patterns can be used to considerably reduce modeling time and cost, to jump-start data modeling efforts, as standards and guidelines to increase data model consistency and quality, and as an objective source against which an enterprise can evaluate data models.
Data Quality Requirements Analysis And Modeling
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Author : Y Richard Wang
language : en
Publisher: Legare Street Press
Release Date : 2023-07-18
Data Quality Requirements Analysis And Modeling written by Y Richard Wang and has been published by Legare Street Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-07-18 with categories.
This comprehensive guide to data quality analysis and modeling is an essential resource for anyone working with data in the modern age. From big data analytics to machine learning, this book covers the latest techniques and best practices for ensuring that your data is accurate, complete, and up-to-date. 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 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. 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.
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 Resource Quality
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Author : Michael H. Brackett
language : en
Publisher: Addison-Wesley Professional
Release Date : 2000
Data Resource Quality written by Michael H. Brackett and has been published by Addison-Wesley Professional this book supported file pdf, txt, epub, kindle and other format this book has been release on 2000 with Business & Economics categories.
"Covering both data architecture and data management issues, the book describes the impact of poor data practices, demonstrates more effective approaches, and reveals implementation pointers for quick results."--Jacket.
Data Management
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Author : Richard T. Watson
language : en
Publisher:
Release Date : 1999
Data Management written by Richard T. Watson and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1999 with Computers categories.
Using organisational memory as a motivating feature, this book teaches the critical value of data to an organisation and how to manage it effectively. The text concentrates on how databases are used and designed, as well as other management technologies.
Journey To Data Quality
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Author : Yang W. Lee
language : en
Publisher: MIT Press (MA)
Release Date : 2006
Journey To Data Quality written by Yang W. Lee and has been published by MIT Press (MA) this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006 with Business & Economics categories.
All organizations today confront data quality problems, both systemic and structural. Neither ad hoc approaches nor fixes at the systems level--installing the latest software or developing an expensive data warehouse--solve the basic problem of bad data quality practices. Journey to Data Qualityoffers a roadmap that can be used by practitioners, executives, and students for planning and implementing a viable data and information quality management program. This practical guide, based on rigorous research and informed by real-world examples, describes the challenges of data management and provides the principles, strategies, tools, and techniques necessary to meet them. The authors, all leaders in the data quality field for many years, discuss how to make the economic case for data quality and the importance of getting an organization's leaders on board. They outline different approaches for assessing data, both subjectively (by users) and objectively (using sampling and other techniques). They describe real problems and solutions, including efforts to find the root causes of data quality problems at a healthcare organization and data quality initiatives taken by a large teaching hospital. They address setting company policy on data quality and, finally, they consider future challenges on the journey to data quality.
Proceedings Of Manufacturing International 92
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Author : Delcie R. Durham
language : en
Publisher:
Release Date : 1992
Proceedings Of Manufacturing International 92 written by Delcie R. Durham and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1992 with Manufactures categories.