Big Data Management / edited by Fausto Pedro García Márquez, Benjamin Lev.

Contributor(s):

Material type: Text

TextEdition: 1st ed. 2017Description: 1 online resource (XVI, 267 pages 107 illustrations, 38 illustrations in color.)ISBN:

9783319454986

Subject(s):

DDC classification:

658.4038 BIG

Contents:

Introduction -- The Big Data Business Opportunity -- The Business Transformation by Big Data -- Data Integration and Management Science -- Novel Approaches for Big Data Analytics -- Case Studies: Engineering; Financial; Economic; Business; Project Management -- Signal Processing.

Summary: This book focuses on the analytic principles of business practice and big data. Specifically, it provides an interface between the main disciplines of engineering/technology and the organizational and administrative aspects of management, serving as a complement to books in other disciplines such as economics, finance, marketing and risk analysis. The contributors present their areas of expertise, together with essential case studies that illustrate the successful application of engineering management theories in real-life examples.

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Holdings
Item type	Current library	Home library	Call number	Status	Date due	Barcode
Book	Institute of Management Processing Center	Institute of Management	658.4038 BIG (Browse shelf(Opens below))	Available		IMK15504

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Previous	658.4038 BAS Computers for managers: Designing an effective management information system	658.4038 BAT Management of information systems	658.4038 BHA Economics of information management	658.4038 BIG Big Data Management /	658.4038 BOD New management challenge: Information systems for improved performance	658.4038 BUS Business analysis/	658.4038 CUN Agile Virtual Enterprises: Implementation and management support	Next

This book focuses on the analytic principles of business practice and big data. Specifically, it provides an interface between the main disciplines of engineering/technology and the organizational and administrative aspects of management, serving as a complement to books in other disciplines such as economics, finance, marketing and risk analysis. The contributors present their areas of expertise, together with essential case studies that illustrate the successful application of engineering management theories in real-life examples.

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