Librarian View
LEADER 02083cam a2200397 i 4500
001
991008109067207546
005
20230113113612.0
008
130912t20192014flua b 001 0 eng
010
a| 2013037013
020
a| 9780367379117
q| (pbk)
020
z| 9781466578371
q| (hbk)
024
7
a| 10.1201/b16014
2| doi
035
a| (julac-retro)12510536
040
a| DLC
b| eng
e| rda
c| DLC
d| OCLCO
d| YDXCP
d| UKMGB
d| NhCcYBP
d| NhCcYME
d| HK-SYU
042
a| pcc
050
0
0
a| QA76.9.D3
b| B52796 2014
082
0
0
a| 006.3/12
2| 23
092
0
a| 006.312
b| BIG 2019
245
0
0
a| Big data computing /
c| edited by Rajendra Akerkar.
264
1
a| Boca Raton, FL :
b| CRC Press,
c| 2019
264
4
c| ©2014
300
a| xxii, 542 pages. :
b| illustrations. ;
c| 24 cm.
336
a| text
2| rdacontent
336
a| still image
b| sti
2| rdacontent
337
a| unmediated
2| rdamedia
338
a| volume
2| rdacarrier
504
a| Includes bibliographical references and index.
520
a| "To tackle the challenges of Big Data, novel approaches and tools have emerged. Moreover, the technology required for big-data computing is developing at a satisfactory rate due to market forces and technological evolution. This book presents a mix of theory and industry cases that discuss the technical and practical issues related to Big Data in intelligent information management. It emphasizes the adoption and diffusion of Big Data tools and technologies in real practical applications. In addition, the book balances between academic and industry contributions"--
c| Provided by publisher.
520
a| "Preface In the international marketplace, businesses, suppliers, and customers do create and consume vast amounts of information. Gartner* predicts that enterprise data in all forms will grow up to 650% over the next five years. According to IDC,
650
0
a| Database management.
650
0
a| Data mining.
650
0
a| Big data.
700
1
a| Akerkar, Rajendra.
910
a| tfc
b| mkl
c| wsl
998
a| book
b| 13-01-23
945
h| Principal
l| location
i| barcode
y| id
f| bookplate
a| callnoa
b| callnob
n| FIN410