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Managing the Data Resource Function

Managing the Data Resource Function
Author: Richard L. Nolan
Publisher:
Total Pages: 458
Release: 1982
Genre: Business & Economics
ISBN:

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Resource Management for Big Data Platforms

Resource Management for Big Data Platforms
Author: Florin Pop
Publisher: Springer
Total Pages: 509
Release: 2016-10-27
Genre: Computers
ISBN: 3319448811

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Serving as a flagship driver towards advance research in the area of Big Data platforms and applications, this book provides a platform for the dissemination of advanced topics of theory, research efforts and analysis, and implementation oriented on methods, techniques and performance evaluation. In 23 chapters, several important formulations of the architecture design, optimization techniques, advanced analytics methods, biological, medical and social media applications are presented. These chapters discuss the research of members from the ICT COST Action IC1406 High-Performance Modelling and Simulation for Big Data Applications (cHiPSet). This volume is ideal as a reference for students, researchers and industry practitioners working in or interested in joining interdisciplinary works in the areas of intelligent decision systems using emergent distributed computing paradigms. It will also allow newcomers to grasp the key concerns and their potential solutions.


Data Management and Data Description

Data Management and Data Description
Author: Richard Williams
Publisher: Routledge
Total Pages: 301
Release: 2019-01-15
Genre: Social Science
ISBN: 0429873301

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Published in 1992. The author sets out the main issues in Data Management, from the first principles of meta modelling and data description through the comprehensive management exploitation, re-use, valuation, extension and enhancement of data as a valuable organizational resource. Using his recent in-depth experience of a major trans-European project, he highlights data value metrics and provides examples of extended data analysis to assist readers to produce corporate data architectures. The book considers how the techniques of data management can be applied in the wider community of business, institutional and organizational settings and considers how new types of data (from the EDIFACT world) can be integrated into the existing data management environments of large data processing functions. This wide-ranging text considers existing work in the field of data resource management and extends the concepts of data resource valuation. References are made to new aspects of metrics for data value and how they can be applied. It will interest strategic business planners, information systems, and DP managers and executives, data-management personnel and data analysts, and academics involved in MSc and BSc courses on Dara Analysis, CASE repositories and structured methods.


Data Resource Understanding

Data Resource Understanding
Author: Michael Brackett
Publisher:
Total Pages: 0
Release: 2015-01-31
Genre: Computers
ISBN: 9781634620123

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Data Resource Understanding is the companion book to Data Resource Data. It provides a detailed explanation of how to thoroughly understand an organization's data resource and to document that understanding with Data Resource Data.


Data Resource Understanding

Data Resource Understanding
Author: Michael H. Brackett
Publisher:
Total Pages:
Release: 2015
Genre: BUSINESS & ECONOMICS
ISBN: 9781634620147

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The Data Model Resource Book, Volume 1

The Data Model Resource Book, Volume 1
Author: Len Silverston
Publisher: John Wiley & Sons
Total Pages: 572
Release: 2011-08-08
Genre: Computers
ISBN: 111808232X

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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.