國立虎尾科技大學 |

Big Data = A Primer /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Big Data/ edited by Hrushikesha Mohanty, Prachet Bhuyan, Deepak Chenthati.
Reminder of title:	A Primer /
other author:	Mohanty, Hrushikesha.
Description:	XIV, 184 p. 48 illus., 42 illus. in color.online resource. :
Contained By:	Springer Nature eBook
Subject:	Data mining. -
Online resource:	https://doi.org/10.1007/978-81-322-2494-5
ISBN:	9788132224945

Big Data = A Primer /
Big DataA Primer /[electronic resource] :edited by Hrushikesha Mohanty, Prachet Bhuyan, Deepak Chenthati. - 1st ed. 2015. - XIV, 184 p. 48 illus., 42 illus. in color.online resource. - Studies in Big Data,112197-6503 ;. - Studies in Big Data,8.

Big Data: An Introduction -- Big Data Architecture -- Big Data Processing Algorithms -- Big Data Search and Mining -- Security and Privacy of Big Data -- Big Data Service Agreement -- Applications of Big Data.

This book is a collection of chapters written by experts on various aspects of big data. The book aims to explain what big data is and how it is stored and used. The book starts from the fundamentals and builds up from there. It is intended to serve as a review of the state-of-the-practice in the field of big data handling. The traditional framework of relational databases can no longer provide appropriate solutions for handling big data and making it available and useful to users scattered around the globe. The study of big data covers a wide range of issues including management of heterogeneous data, big data frameworks, change management, finding patterns in data usage and evolution, data as a service, service-generated data, service management, privacy and security. All of these aspects are touched upon in this book. It also discusses big data applications in different domains. The book will prove useful to students, researchers, and practicing database and networking engineers.

ISBN: 9788132224945

Standard No.: 10.1007/978-81-322-2494-5doiSubjects--Topical Terms:

528622
Data mining.

LC Class. No.: QA76.9.D343

Dewey Class. No.: 006.312

Big Data = A Primer /
LDR:02623nam a22004215i 4500 001 966766
003 DE-He213
005 20200703134715.0
007 cr nn 008mamaa
008 201211s2015 ii | s |||| 0|eng d
020 $a 9788132224945 $9 978-81-322-2494-5
024 7 $a 10.1007/978-81-322-2494-5 $2 doi
035 $a 978-81-322-2494-5
050 4 $a QA76.9.D343
072 7 $a UNF $2 bicssc
072 7 $a COM021030 $2 bisacsh
072 7 $a UNF $2 thema
072 7 $a UYQE $2 thema
082 0 4 $a 006.312 $2 23
245 1 0 $a Big Data $h [electronic resource] : $b A Primer / $c edited by Hrushikesha Mohanty, Prachet Bhuyan, Deepak Chenthati.
250 $a 1st ed. 2015.
264 1 $a New Delhi : $b Springer India : $b Imprint: Springer, $c 2015.
300 $a XIV, 184 p. 48 illus., 42 illus. in color. $b online resource.
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
347 $a text file $b PDF $2 rda
490 1 $a Studies in Big Data, $x 2197-6503 ; $v 11
505 0 $a Big Data: An Introduction -- Big Data Architecture -- Big Data Processing Algorithms -- Big Data Search and Mining -- Security and Privacy of Big Data -- Big Data Service Agreement -- Applications of Big Data.
520 $a This book is a collection of chapters written by experts on various aspects of big data. The book aims to explain what big data is and how it is stored and used. The book starts from the fundamentals and builds up from there. It is intended to serve as a review of the state-of-the-practice in the field of big data handling. The traditional framework of relational databases can no longer provide appropriate solutions for handling big data and making it available and useful to users scattered around the globe. The study of big data covers a wide range of issues including management of heterogeneous data, big data frameworks, change management, finding patterns in data usage and evolution, data as a service, service-generated data, service management, privacy and security. All of these aspects are touched upon in this book. It also discusses big data applications in different domains. The book will prove useful to students, researchers, and practicing database and networking engineers.
650 0 $a Data mining. $3 528622
650 0 $a Data structures (Computer science). $3 680370
650 0 $a Computational intelligence. $3 568984
650 1 4 $a Data Mining and Knowledge Discovery. $3 677765
650 2 4 $a Data Storage Representation. $3 669777
650 2 4 $a Computational Intelligence. $3 768837
700 1 $a Mohanty, Hrushikesha. $e editor. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1262396
700 1 $a Bhuyan, Prachet. $e editor. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1262397
700 1 $a Chenthati, Deepak. $e editor. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1262398
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
776 0 8 $i Printed edition: $z 9788132224952
776 0 8 $i Printed edition: $z 9788132224938
776 0 8 $i Printed edition: $z 9788132235675
830 0 $a Studies in Big Data, $x 2197-6503 ; $v 8 $3 1256918
856 4 0 $u https://doi.org/10.1007/978-81-322-2494-5
912 $a ZDB-2-ENG
912 $a ZDB-2-SXE
950 $a Engineering (SpringerNature-11647)
950 $a Engineering (R0) (SpringerNature-43712)