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Big Data Management

Format: Hardback
Publisher: Springer International Publishing AG, Cham, Switzerland
Published: 25th Nov 2016
Dimensions: w 155mm h 235mm d 20mm
Weight: 704g
ISBN-10: 3319454978
ISBN-13: 9783319454979
Barcode No: 9783319454979
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Synopsis
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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"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)