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Big data and cloud computing = selec...

International Conference on Big Data and Cloud Computing Challenges (2022))

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Big data and cloud computing = select proceedings of IBCCC 2022 /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Big data and cloud computing/ edited by Neelanarayanan Venkataraman ... [et al.].
Reminder of title:	select proceedings of IBCCC 2022 /
remainder title:	IBCCC 2022
other author:	Venkataraman, Neelanarayanan.
corporate name:	International Conference on Big Data and Cloud Computing Challenges
Published:	Singapore :Springer Nature Singapore : : 2023.,
Description:	x, 388 p. :ill. (some col.), digital ;24 cm.
[NT 15003449]:	1. Architecture -- 2. MapReduce -- 3. Security and Privacy -- 4. Services and Applications -- 5. Virtualization.
Contained By:	Springer Nature eBook
Subject:	Big data - Congresses. -
Online resource:	https://doi.org/10.1007/978-981-99-1051-9
ISBN:	9789819910519

Big data and cloud computing = select proceedings of IBCCC 2022 /
Big data and cloud computingselect proceedings of IBCCC 2022 /[electronic resource] :IBCCC 2022edited by Neelanarayanan Venkataraman ... [et al.]. - Singapore :Springer Nature Singapore :2023. - x, 388 p. :ill. (some col.), digital ;24 cm. - Lecture notes in electrical engineering,v. 10211876-1119 ;. - Lecture notes in electrical engineering ;v. 1021..

1. Architecture -- 2. MapReduce -- 3. Security and Privacy -- 4. Services and Applications -- 5. Virtualization.

The book presents papers from the 7th International Conference on Big Data and Cloud Computing Challenges (ICBCC 2022) The book includes high-quality, original research on various aspects of big data and cloud computing, offering perspectives from the industrial and research communities on addressing the current challenges in the field. This book discusses key issues and highlights recent advances in a single broad topic applicable to different sub-fields by exploring various multidisciplinary technologies. This book supports the transfer of vital knowledge to next-generation researchers, students, and practitioners in academia and industry.

ISBN: 9789819910519

Standard No.: 10.1007/978-981-99-1051-9doiSubjects--Topical Terms:

3166510
Big data
--Congresses.

LC Class. No.: QA76.9.B45

Dewey Class. No.: 005.7

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