Data, engineering and applications. Volume 1 /

Saved in:
Bibliographic Details
Imprint:Singapore : Springer, 2019.
Description:1 online resource (viii, 191 pages) : illustrations (some color)
Language:English
Subject:
Format: E-Resource Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/11852169
Hidden Bibliographic Details
Other authors / contributors:Shukla, Rajesh K., editor.
Agrawal, Jitendra, editor.
Sharma, Sanjeev (Information technology executive), editor.
Tomer, Geetam Singh, editor.
ISBN:9789811363474
9811363471
9789811363481
981136348X
9789811363498
9811363498
9789811363467
9811363463
Digital file characteristics:text file PDF
Notes:Online resource; title from PDF title page (SpringerLink, viewed March 27, 2019).
Summary:This book presents a compilation of current trends, technologies, and challenges in connection with Big Data. Many fields of science and engineering are data-driven, or generate huge amounts of data that are ripe for the picking. There are now more sources of data than ever before, and more means of capturing data. At the same time, the sheer volume and complexity of the data have sparked new developments, where many Big Data problems require new solutions. Given its scope, the book offers a valuable reference guide for all graduate students, researchers, and scientists interested in exploring the potential of Big Data applications.
Other form:Print version: Data, engineering and applications. Volume 1. Singapore : Springer, 2019 9811363463 9789811363467
Standard no.:10.1007/978-981-13-6347-4