Developing High Quality Data Models

A multitude of problems is likely to arise when developing data models. With dozens of attributes and millions of rows, data modelers are always in danger of inconsistency and inaccuracy. The development of the data model itself could result in difficulties presenting accurate data. The need to impr...

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Tác giả chính: West, Matthew
Định dạng: Sách
Ngôn ngữ:English
Được phát hành: Elsevier 2011
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Truy cập trực tuyến:http://scholar.dlu.edu.vn/thuvienso/handle/DLU123456789/25899
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spelling oai:scholar.dlu.edu.vn:DLU123456789-258992012-03-03T04:32:46Z Developing High Quality Data Models West, Matthew Tin học Database A multitude of problems is likely to arise when developing data models. With dozens of attributes and millions of rows, data modelers are always in danger of inconsistency and inaccuracy. The development of the data model itself could result in difficulties presenting accurate data. The need to improve data models begins with getting it right in the first place. Using real-world examples, Developing High Quality Data Models walks the reader through identifying a number of data modeling principles and analysis techniques that enable the development of data models that both meet business requirements and have a consistent basis. The reader is presented with a variety of generic data model patterns that both exemplify the principles and techniques discussed and build upon one another to give a powerful and integrated generic data model. This model has wide applicability across many disciplines in government and industry, including but not limited to energy exploration, healthcare, telecommunications, transportation, military defense, transportation, and more. * 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 2011-09-20T02:37:36Z 2011-09-20T02:37:36Z 2011 Book 978-0-12-375106-5 http://scholar.dlu.edu.vn/thuvienso/handle/DLU123456789/25899 en application/pdf Elsevier
institution Thư viện Trường Đại học Đà Lạt
collection Thư viện số
language English
topic Tin học
Database
spellingShingle Tin học
Database
West, Matthew
Developing High Quality Data Models
description A multitude of problems is likely to arise when developing data models. With dozens of attributes and millions of rows, data modelers are always in danger of inconsistency and inaccuracy. The development of the data model itself could result in difficulties presenting accurate data. The need to improve data models begins with getting it right in the first place. Using real-world examples, Developing High Quality Data Models walks the reader through identifying a number of data modeling principles and analysis techniques that enable the development of data models that both meet business requirements and have a consistent basis. The reader is presented with a variety of generic data model patterns that both exemplify the principles and techniques discussed and build upon one another to give a powerful and integrated generic data model. This model has wide applicability across many disciplines in government and industry, including but not limited to energy exploration, healthcare, telecommunications, transportation, military defense, transportation, and more. * 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
format Book
author West, Matthew
author_facet West, Matthew
author_sort West, Matthew
title Developing High Quality Data Models
title_short Developing High Quality Data Models
title_full Developing High Quality Data Models
title_fullStr Developing High Quality Data Models
title_full_unstemmed Developing High Quality Data Models
title_sort developing high quality data models
publisher Elsevier
publishDate 2011
url http://scholar.dlu.edu.vn/thuvienso/handle/DLU123456789/25899
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