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Big data management
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SpringerLink (Online service)
Big data management
Record Type:
Language materials, printed : Monograph/item
Title/Author:
Big data management/ edited by Fausto Pedro Garcia Marquez, Benjamin Lev.
other author:
Garcia Marquez, Fausto Pedro.
Published:
Cham :Springer International Publishing : : 2017.,
Description:
xvi, 267 p. :ill., digital ; : 24 cm.;
Contained By:
Springer eBooks
Subject:
Big data. -
Online resource:
http://dx.doi.org/10.1007/978-3-319-45498-6
ISBN:
9783319454986
Big data management
Big data management
[electronic resource] /edited by Fausto Pedro Garcia Marquez, Benjamin Lev. - Cham :Springer International Publishing :2017. - xvi, 267 p. :ill., digital ;24 cm.
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.
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.
ISBN: 9783319454986
Standard No.: 10.1007/978-3-319-45498-6doiSubjects--Topical Terms:
981821
Big data.
LC Class. No.: QA76.9.B45 / B54 2017
Dewey Class. No.: 005.7
Big data management
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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.
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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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Business and Management (Springer-41169)
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