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Big Data Management

ISBN-13: 9783319454979 / Angielski / Twarda / 2016 / 267 str.

Fausto Pedro Garcia Marquez; Benjamin Lev
Big Data Management Fausto Pedro Garci Benjamin Lev 9783319454979 Springer - książkaWidoczna okładka, to zdjęcie poglądowe, a rzeczywista szata graficzna może różnić się od prezentowanej.

Big Data Management

ISBN-13: 9783319454979 / Angielski / Twarda / 2016 / 267 str.

Fausto Pedro Garcia Marquez; Benjamin Lev
cena 564,88 zł
(netto: 537,98 VAT:  5%)

Najniższa cena z 30 dni: 539,74 zł
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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.

Kategorie:
Technologie
Kategorie BISAC:
Computers > Business & Productivity Software - Business Intelligence
Technology & Engineering > Industrial Engineering
Computers > Operating Systems - General
Wydawca:
Springer
Język:
Angielski
ISBN-13:
9783319454979
Rok wydania:
2016
Wydanie:
2017
Ilość stron:
267
Waga:
0.68 kg
Wymiary:
23.37 x 15.75 x 2.03
Oprawa:
Twarda
Wolumenów:
01

"This book is definitely timely with its ambitious goals to fulfill a big gap in the literature. ... this book provides a valuable collection of perspectives that demonstrate the complexity and diversity of big data, and open avenues for future research. ... This book will be particularly welcome by researchers who are interested in an interdisciplinary approach to big data and have a basic understanding of computer science." (Mingming Cheng, Information Technology & Tourism, Vol. 17, 2017)

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.

Dr. Fausto Pedro García Márquez completed his European Doctorate in Engineering at the University of Castilla-La Mancha (UCLM) in 2004. He received his Engineering degree from the University of Murcia, Spain in 1998, and his Technical Engineering degree at UCLM in 1995 and degree in Business Administration and Management at UCLM in 2006. He has also served as Technician in Labor Risk Prevention by UCLM (2000) and Transport Specialist at the Polytechnic University of Madrid, Spain (2001). He was a Senior Manager at Accenture in 2013/2014, and is currently a Senior Lecturer (Full Professor accredited) at UCLM, an Honorary Senior Research Fellow at the University of Birmingham, UK, a Lecturer at the Instituto Europeo de Postgrado and Director of the Ingenium Research Group. He has been the principal investigator in 3 European Projects and 60 national and corporate research projects. He holds international and national patents, and has authored more than 110 international papers and 10 books. His work has been recognized with 3 International Awards in Engineering Management and Management Science. 

Dr. Benjamin Lev is a Professor and Head of Decision Sciences at LeBow College of Business. He holds a PhD in Operations Research from Case Western Reserve University. Prior to joining Drexel University, Dr. Lev held academic and administrative positions at Temple University, the University of Michigan-Dearborn and Worcester Polytechnic Institute. He is the Editor-in-Chief of OMEGA – The International journal of Management Science, the Co-Editor-in-Chief of the International Journal of Management Science and Engineering Management, and serves on several other journal editorial boards. He has published over ten books and numerous articles, and has organized many national and international conferences.

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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