Data Model Patterns: A Metadata Map

Data Model Patterns: A Metadata Map
Author :
Publisher : Elsevier
Total Pages : 427
Release :
ISBN-10 : 9780080477039
ISBN-13 : 0080477038
Rating : 4/5 (038 Downloads)

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 and published by Elsevier. This book was released on 2010-07-20 with total page 427 pages. 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

Data Model Patterns: A Metadata Map Related Books

Data Model Patterns: A Metadata Map
Language: en
Pages: 427
Authors: David C. Hay
Categories: Computers
Type: BOOK - Published: 2010-07-20 - Publisher: Elsevier

GET EBOOK

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 info
Data Model Patterns
Language: en
Pages: 289
Authors: David C. Hay
Categories: Data structures (Computer science)
Type: BOOK - Published: 2013 - Publisher: Pearson Education

GET EBOOK

The Data Model Resource Book, Volume 1
Language: en
Pages: 572
Authors: Len Silverston
Categories: Computers
Type: BOOK - Published: 2011-08-08 - Publisher: John Wiley & Sons

GET EBOOK

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 publi
The Self-Service Data Roadmap
Language: en
Pages: 297
Authors: Sandeep Uttamchandani
Categories: Computers
Type: BOOK - Published: 2020-09-10 - Publisher: "O'Reilly Media, Inc."

GET EBOOK

Data-driven insights are a key competitive advantage for any industry today, but deriving insights from raw data can still take days or weeks. Most organization
R for Data Science
Language: en
Pages: 521
Authors: Hadley Wickham
Categories: Computers
Type: BOOK - Published: 2016-12-12 - Publisher: "O'Reilly Media, Inc."

GET EBOOK

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