Data Modeling Fundamentals

Data Modeling Fundamentals
Author: Paulraj Ponniah
Publisher: John Wiley & Sons
Total Pages: 460
Release: 2007-06-30
Genre: Computers
ISBN: 0470141018


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The purpose of this book is to provide a practical approach for IT professionals to acquire the necessary knowledge and expertise in data modeling to function effectively. It begins with an overview of basic data modeling concepts, introduces the methods and techniques, provides a comprehensive case study to present the details of the data model components, covers the implementation of the data model with emphasis on quality components, and concludes with a presentation of a realistic approach to data modeling. It clearly describes how a generic data model is created to represent truly the enterprise information requirements.


Data Modeling Fundamentals
Language: en
Pages: 460
Authors: Paulraj Ponniah
Categories: Computers
Type: BOOK - Published: 2007-06-30 - Publisher: John Wiley & Sons

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The purpose of this book is to provide a practical approach for IT professionals to acquire the necessary knowledge and expertise in data modeling to function e
Data, Models, and Decisions
Language: en
Pages: 530
Authors: Dimitris Bertsimas
Categories: Business & Economics
Type: BOOK - Published: 2004 - Publisher: Ingram

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Combines topics from two traditionally distinct quantitative subjects, probability/statistics and management science/optimization, in a unified treatment of qua
Object-Role Modeling Fundamentals
Language: en
Pages: 117
Authors: Terry Halpin
Categories: Computers
Type: BOOK - Published: 2015-04-15 - Publisher: Technics Publications

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Object-Role Modeling (ORM) is a fact-based approach to data modeling that expresses the information requirements of any business domain simply in terms of objec
Fundamentals of Clinical Data Science
Language: en
Pages: 219
Authors: Pieter Kubben
Categories: Medical
Type: BOOK - Published: 2018-12-21 - Publisher: Springer

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This open access book comprehensively covers the fundamentals of clinical data science, focusing on data collection, modelling and clinical applications. Topics
R for Data Science
Language: en
Pages: 521
Authors: Hadley Wickham
Categories: Computers
Type: BOOK - Published: 2016-12-12 - Publisher: "O'Reilly Media, Inc."

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Learn how to use R to turn raw data into insight, knowledge, and understanding. This book introduces you to R, RStudio, and the tidyverse, a collection of R pac