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Springer Guide to Big Data Applications - Springer Studies Vol. 26

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Description

This comprehensive handbook compiles diverse approaches to big data applications across science, medicine, and business sectors. Featuring contributions from international researchers, the Guide to Big Data Applications presents real-world findings and practical experience that transcend disciplinary boundaries. The volume enables readers from any field to understand how big data solutions have succeeded elsewhere and adapt similar strategies to their own domains. By presenting research in an accessible format, this resource stimulates further innovation in big data implementation. Whether you work in academia, healthcare, finance, or technology, this Springer Studies collection (Volume 26) offers proven methodologies and insights to drive your own big data initiatives forward.

Key Features

This Guide to Big Data Applications brings together international researcher contributions sharing practical findings across multiple sectors including science, medicine, and business.

The handbook presents big data methodologies in an accessible format designed for readers from any professional background or field of study.

Part of the established Springer Studies in Big Data series (Volume 26), ensuring academic rigour and peer-reviewed content quality.

Real-world case studies and applications throughout the Guide demonstrate how big data solutions have succeeded, enabling adaptation to your own organisational context.

The resource bridges theory and practice by combining research insights with implementation experience from global experts in big data technologies.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
07 June 2017
Listed Since
12 January 2017

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