000 03673nkm a2200577Ia 4500
001 ocn968205751
003 OCoLC
005 20180530140300.0
006 m o c
007 cr cna||||||||
007 vz czazuu
008 170111s2016 xx 000 o vleng d
035 _a(OCoLC)968205751
037 _aCL0500000815
_bSafari Books Online
040 _aDLC
_beng
_cDLC
_dSafari Books Online, LLC
_dAU
049 _aAlfaisal Main Library
050 4 _aQA76.9.D5
245 0 0 _aLearning path :
_bunderstanding tool integration for big data architecture.
246 3 0 _aUnderstanding tool integration for big data architecture
264 1 _a[Place of publication not identified] :
_bO'Reilly Media,
_c[2016]
300 _a1 online resource (1 streaming video file (21 hr., 44 min., 26 sec.)) :
_bdigital, sound, color
336 _atwo-dimensional moving image
_btdi
_2rdacontent
337 _acomputer
_bc
_2rdamedia
337 _avideo
_bv
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
511 0 _aPresenters, Mark Grover, Rich Morrow, David Yahalom, Steven Totman, Sam Heywood, Nick Curcuru, Ritu Kama, Jaipaul Agonus.
500 _aTitle and publication information from resource description page (Safari, viewed January 10, 2017).
505 0 _aArchitectural considerations for Hadoop applications / Mark Grover [and three others] -- Using Spark in the Hadoop ecosystem / Rich Morrow -- Mastering Apache Sqoop / David Yahalom -- Big data governance / Steven Totman [and three others] -- Preventing a big data security breach / Sam Heywood, Nick Curcuru, Ritu Kama -- Hive + Amazon EMR + S3 = Elastic big data SQL analytics processing in the cloud , a real world case study / Jaipaul Agonus.
520 _a"Implementing solutions with Apache Hadoop requires understanding not just Hadoop, but a broad range of related projects within the Hadoop ecosystem. In this Learning Path, you'll discover how to integrate Hadoop components to implement big data solutions through a variety of end-to-end use case studies addressing clickstream analytics, time series problems, and data transfer between Hadoop and relational databases. You'll master techniques for integrating Spark with other key components of the Hadoop ecosystem, including HDFS, YARN, and MapReduce, and gain direct experience integrating Spark and Hadoop through a series of sixteen hands-on labs. In closing, you'll get a glimpse into the latest trends in data infrastructure, in a changing financial industry, through a series of talks from Strata+Hadoop world on next-gen finance."--Resource description page.
630 0 0 _aApache Hadoop.
630 0 0 _aSpark (Electronic resource : Apache Software Foundation)
650 0 _aBig data.
650 0 _aElectronic data processing
_xDistributed processing.
655 7 _aElectronic books.
_2local
700 1 _aGrover, Mark,
_espeaker.
700 1 _aMorrow, Rich,
_espeaker.
700 1 _aYahalom, David,
_espeaker.
700 1 _aTotman, Steven,
_espeaker.
700 1 _aHeywood, Sam,
_espeaker.
700 1 _aCurcuru, Nick,
_espeaker.
700 1 _aAgonus, Jaipaul,
_espeaker.
710 2 _aSafari eBooks.
740 0 2 _aArchitectural considerations for Hadoop applications.
740 0 2 _aUsing Spark in the Hadoop ecosystem.
740 0 2 _aBig data governance.
740 0 2 _aPreventing a big data security breach.
740 0 2 _aHive + Amazon EMR + S3 = Elastic big data SQL analytics processing in the cloud , a real world case study.
856 4 0 _uhttp://ezproxy.alfaisal.edu/login?url=http://academic.safaribooksonline.com/?uiCode=sdl&xmlId=9781491978641
942 _2lcc
_cEBOOKS
994 _aC0
_bUMI
260 _c[2016]
999 _c576568
_d576568