Big data management

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...

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Bibliographic Details
Other Authors: García Márquez, Fausto Pedro, (Editor), Lev, Benjamin, (Editor)
Format: eBook
Language: English
Published: Cham : Springer, [2017]
Subjects:
ISBN: 3319454986
9783319454986
9783319454979
Physical Description: 1 online resource (274 pages) : illustrations (some color)

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Table of contents

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040 |a IDEBK  |b eng  |e rda  |e pn  |c IDEBK  |d YDX  |d DKDLA  |d OCLCO  |d NOC  |d AZU  |d MERUC  |d UPM  |d VT2  |d OCLCF  |d JBG  |d IAD  |d ICW  |d ICN  |d OCLCQ  |d IAS  |d OCLCQ  |d IDEBK  |d MERER  |d OCLCQ  |d JG0  |d IOG  |d U3W  |d CAUOI  |d CNCGM  |d IAD  |d OCLCQ  |d KSU  |d OCLCQ  |d ESU  |d WYU  |d LVT  |d UKMGB  |d BRX  |d AUD  |d LQU  |d OCLCQ  |d ERF  |d UKBTH  |d LEATE 
020 |a 3319454986  |q (ebk) 
020 |a 9783319454986 
020 |z 9783319454979 
024 7 |a 10.1007/978-3-319-45498-6  |2 doi 
024 8 |a 10.1007/978-3-319-45 
035 |a (OCoLC)966391913  |z (OCoLC)964291062  |z (OCoLC)966903993  |z (OCoLC)974649765  |z (OCoLC)1066638901  |z (OCoLC)1105169808  |z (OCoLC)1112578376  |z (OCoLC)1113436157  |z (OCoLC)1113465373  |z (OCoLC)1122811991  |z (OCoLC)1127221334 
245 0 0 |a Big data management /  |c Fausto Pedro Garcia Marquez, Benjamin Lev, editors. 
264 1 |a Cham :  |b Springer,  |c [2017] 
264 4 |c ©2017 
300 |a 1 online resource (274 pages) :  |b illustrations (some color) 
336 |a text  |b txt  |2 rdacontent 
337 |a počítač  |b c  |2 rdamedia 
338 |a online zdroj  |b cr  |2 rdacarrier 
505 0 |a 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. 
506 |a Plný text je dostupný pouze z IP adres počítačů Univerzity Tomáše Bati ve Zlíně nebo vzdáleným přístupem pro zaměstnance a studenty 
520 |a 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. 
504 |a Includes bibliographical references. 
590 |a SpringerLink  |b Springer Complete eBooks 
650 0 |a Business. 
650 0 |a Management. 
650 0 |a Industrial management. 
650 0 |a Operations research. 
650 0 |a Decision making. 
650 0 |a Management information systems. 
650 0 |a Operating systems (Computers) 
650 0 |a Engineering economy. 
655 7 |a elektronické knihy  |7 fd186907  |2 czenas 
655 9 |a electronic books  |2 eczenas 
700 1 |a García Márquez, Fausto Pedro,  |e editor. 
700 1 |a Lev, Benjamin,  |e editor. 
776 0 8 |i Print version:  |t Big data management.  |d Cham : Springer, [2017]  |z 3319454978  |z 9783319454979  |w (OCoLC)954008136 
856 4 0 |u https://proxy.k.utb.cz/login?url=https://link.springer.com/10.1007/978-3-319-45498-6  |y Plný text 
992 |c NTK-SpringerBM 
999 |c 97930  |d 97930 
993 |x NEPOSILAT  |y EIZ