Developing High Quality Data Models

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  • Author : Matthew West
  • Publisher : Elsevier
  • Pages : 408 pages
  • ISBN : 9780123751072
  • Rating : /5 from reviews
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Download or Read online Developing High Quality Data Models full in PDF, ePub and kindle. this book written by Matthew West and published by Elsevier which was released on 07 February 2011 with total page 408 pages. We cannot guarantee that Developing High Quality Data Models book is available in the library, click Get Book button and read full online book in your kindle, tablet, IPAD, PC or mobile whenever and wherever You Like. 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

Developing High Quality Data Models

Developing High Quality Data Models
  • Author : Matthew West
  • Publisher : Elsevier
  • Release : 07 February 2011
GET THIS BOOK Developing High Quality Data Models

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

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  • Publisher : Technics Publications Llc
  • Release : 03 August 2021
GET THIS BOOK Data Modeling for the Business

Did you ever try getting Business and IT to agree on the project scope for a new application? Or try getting the Sales & Marketing department to agree on the target audience? Or try bringing new team members up to speed on the hundreds of tables in your data warehouse -- without them dozing off? You can be the hero in each of these and hundreds of other scenarios by building a High-Level Data Model. The High-Level Data Model is a

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  • Release : 27 May 2021
GET THIS BOOK Executing Data Quality Projects

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  • Publisher : Springer Science & Business Media
  • Release : 21 October 1998
GET THIS BOOK Conceptual Modeling ER 98

This volume constitutes the refereed proceedings of the 17th International Conference on Conceptual Modeling, ER '98, held in Singapore, in November 1998. The 32 revised full papers presented were carefully reviewed and selected from a total of 95 submissions. The book is divided into chapters on conceptual modeling and design, user interface modeling, information retrieval on the Web, semantics and constraints, conceptual modeling tools, quality and reliability metrics, industrial experience in conceptual modeling, object-oriented database management systems, data warehousing, industrial case studies, object-oriented

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  • Publisher : Paragon Publishing
  • Release : 10 October 2016
GET THIS BOOK The Data Model Toolkit

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  • Release : 19 January 2021
GET THIS BOOK Data Modeling for Quality

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  • Publisher : Elsevier
  • Release : 10 February 2011
GET THIS BOOK Database Modeling and Design

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  • Publisher : "O'Reilly Media, Inc."
  • Release : 19 August 2020
GET THIS BOOK Semantic Modeling for Data

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  • Publisher : Springer
  • Release : 06 November 2010
GET THIS BOOK On the Move to Meaningful Internet Systems OTM 2010

This volume constitutes the refereed proceedings of 11 international workshops held as part of OTM 2010 in Hersonissos, Greece in October 2010. The 68 revised full papers presented were carefully reviewed and selected from a total of 127 submissions to the workshops. The volume starts with 14 poster papers of the OTM 2010 main conferences COOPIS 2010, DOA 2010 and OSBASE 2010. Topics of the workshop papers are adaption in service-oriented architectures, ambient intelligence and reasoning, data integration approaches, modeling in ADI, web and enterprise data visualization, enterprise integration and

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  • Publisher : Springer
  • Release : 12 October 2015
GET THIS BOOK Enterprise and Organizational Modeling and Simulation

This book constitutes the refereed proceedings of the 11th International Workshop on Enterprise and Organizational Modeling and Simulation, EOMAS 2015, held at CAiSE 2015, in June 2015 in Stockholm, Sweden. EOMAS was founded with the purpose to become a forum among researchers and practitioners to share their research and practical findings by encouraging the dissemination of research results under a more generic umbrella called enterprise engineering, which encompasses internal factors ranging from organizational complexity to intricacy of business processes and sophistication in workflows

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  • Release : 21 September 2000
GET THIS BOOK High Performance Web Databases

As Web-based systems and e-commerce carry businesses into the 21st century, databases are becoming workhorses that shoulder each and every online transaction. For organizations to have effective 24/7 Web operations, they need powerhouse databases that deliver at peak performance-all the time. High Performance Web Databases: Design, Development, and

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  • Release : 12 April 2017
GET THIS BOOK Engineering Education 4 0

This book presents a collection of results from the interdisciplinary research project “ELLI” published by researchers at RWTH Aachen University, the TU Dortmund and Ruhr-Universität Bochum between 2011 and 2016. All contributions showcase essential research results, concepts and innovative teaching methods to improve engineering education. Further, they focus on a variety of areas, including virtual and remote teaching and learning environments, student mobility, support throughout the student lifecycle, and the cultivation of interdisciplinary skills.

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GET THIS BOOK Dictionary of Mathematical Geosciences

This dictionary includes a number of mathematical, statistical and computing terms and their definitions to assist geoscientists and provide guidance on the methods and terminology encountered in the literature. Each technical term used in the explanations can be found in the dictionary which also includes explanations of basics, such as trigonometric functions and logarithms. There are also citations from the relevant literature to show the term’s first use in mathematics, statistics, etc. and its subsequent usage in geosciences.