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Springer Big Data in Engineering Applications - Studies in Big Data

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Description

Big Data in Engineering Applications (Studies in Big Data, 44) by Springer explores current trends, technologies, and challenges within the engineering and science sectors. This volume addresses how Big Data impacts diverse fields, ranging from mechanical, civil, and electrical engineering to computer science and electronics. It also extends into pharmaceutical and biological sciences. Featuring contributions from academic and industry experts, the book demonstrates how Big Data is used for decision-making in environments defined by high volume, variety, and velocity of information. It serves as a comprehensive resource for understanding the practical application of data technologies across multiple professional disciplines.

Key Features

This Springer publication covers Big Data trends and technologies across engineering and science disciplines.

The content includes applications for mechanical, civil, electrical, and computer science fields.

Readers can explore Big Data implementations within pharmaceutical and biological sciences.

Contributions from various authors in academia and industry provide practical perspectives on data decision-making.

The text addresses challenges related to the volume, variety, and velocity of information in diverse sectors.

Product Specifications

Colour
White
Format
hardcover
Domain
Amazon UK
Release Date
16 May 2018
Listed Since
18 January 2018

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No barcode data available

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