Patterns of Data Modeling

2010-06-01 Computers

Author : Michael Blaha
Release : 2010-06-01
Genre : Computers
Kind : eBook
Book Rating : 904/5 ( reviews)

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Book Synopsis Patterns of Data Modeling by : Michael Blaha

Download or read book Patterns of Data Modeling written by Michael Blaha. This book was released on 2010-06-01. Available in PDF, EPUB and Kindle. Book excerpt: Best-selling author and database expert with more than 25 years of experience modeling application and enterprise data, Dr. Michael Blaha provides tried and tested data model patterns, to help readers avoid common modeling mistakes and unnecessary frustration on their way to building effective data models. Unlike the typical methodology book, Patterns of Data Modeling provides advanced techniques for those who have mastered the basics. Recognizing that database representation sets the path for software, determines its flexibility, affects its quality, and influences whether it succeeds or fails, the text focuses on databases rather than programming. It is one of the first books to apply the popular patterns perspective to database systems and data models. It offers practical advice on the core aspects of applications and provides authoritative coverage of mathematical templates, antipatterns, archetypes, identity, canonical models, and relational database design.

The Data Model Resource Book, Volume 1

2011-08-08 Computers

Author : Len Silverston
Release : 2011-08-08
Genre : Computers
Kind : eBook
Book Rating : 32X/5 ( reviews)

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Book Synopsis The Data Model Resource Book, Volume 1 by : Len Silverston

Download or read book The Data Model Resource Book, Volume 1 written by Len Silverston. This book was released on 2011-08-08. Available in PDF, EPUB and Kindle. Book excerpt: A quick and reliable way to build proven databases for core business functions Industry experts raved about The Data Model Resource Book when it was first published in March 1997 because it provided a simple, cost-effective way to design databases for core business functions. Len Silverston has now revised and updated the hugely successful 1st Edition, while adding a companion volume to take care of more specific requirements of different businesses. This updated volume provides a common set of data models for specific core functions shared by most businesses like human resources management, accounting, and project management. These models are standardized and are easily replicated by developers looking for ways to make corporate database development more efficient and cost effective. This guide is the perfect complement to The Data Model Resource CD-ROM, which is sold separately and provides the powerful design templates discussed in the book in a ready-to-use electronic format. A free demonstration CD-ROM is available with each copy of the print book to allow you to try before you buy the full CD-ROM.

Data Model Patterns

2013 Data structures (Computer science)

Author : David C. Hay
Release : 2013
Genre : Data structures (Computer science)
Kind : eBook
Book Rating : 125/5 ( reviews)

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Book Synopsis Data Model Patterns by : David C. Hay

Download or read book Data Model Patterns written by David C. Hay. This book was released on 2013. Available in PDF, EPUB and Kindle. Book excerpt:

Data Model Patterns: A Metadata Map

2010-07-20 Computers

Author : David C. Hay
Release : 2010-07-20
Genre : Computers
Kind : eBook
Book Rating : 038/5 ( reviews)

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Book Synopsis Data Model Patterns: A Metadata Map by : David C. Hay

Download or read book Data Model Patterns: A Metadata Map written by David C. Hay. This book was released on 2010-07-20. Available in PDF, EPUB and Kindle. Book excerpt: Data Model Patterns: A Metadata Map not only presents a conceptual model of a metadata repository but also demonstrates a true enterprise data model of the information technology industry itself. It provides a step-by-step description of the model and is organized so that different readers can benefit from different parts. It offers a view of the world being addressed by all the techniques, methods, and tools of the information processing industry (for example, object-oriented design, CASE, business process re-engineering, etc.) and presents several concepts that need to be addressed by such tools. This book is pertinent, with companies and government agencies realizing that the data they use represent a significant corporate resource recognize the need to integrate data that has traditionally only been available from disparate sources. An important component of this integration is management of the "metadata" that describe, catalogue, and provide access to the various forms of underlying business data. The "metadata repository" is essential to keep track of the various physical components of these systems and their semantics. The book is ideal for data management professionals, data modeling and design professionals, and data warehouse and database repository designers. A comprehensive work based on the Zachman Framework for information architecture—encompassing the Business Owner's, Architect's, and Designer's views, for all columns (data, activities, locations, people, timing, and motivation) Provides a step-by-step description of model and is organized so that different readers can benefit from different parts Provides a view of the world being addressed by all the techniques, methods and tools of the information processing industry (for example, object-oriented design, CASE, business process re-engineering, etc.) Presents many concepts that are not currently being addressed by such tools — and should be

Developing High Quality Data Models

2011-02-07 Computers

Author : Matthew West
Release : 2011-02-07
Genre : Computers
Kind : eBook
Book Rating : 071/5 ( reviews)

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Book Synopsis Developing High Quality Data Models by : Matthew West

Download or read book Developing High Quality Data Models written by Matthew West. This book was released on 2011-02-07. Available in PDF, EPUB and Kindle. Book excerpt: 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

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