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OCoLC |
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170420s2017 xx 085 o vleng d |
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|a UMI
|b eng
|e rda
|e pn
|c UMI
|d TOH
|d OCLCF
|d OCLCO
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|a (OCoLC)983204762
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|a CL0500000849
|b Safari Books Online
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|a QA76.9.D343
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|a UAMI
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|a Kane, Frank,
|e speaker.
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|a Analyzing big data with Spark and Amazon EMR :
|b learning to harness the power of cloud computing to analyze big data when you don't have a cluster of your own /
|c with Frank Kane.
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|a [Place of publication not identified] :
|b O'Reilly,
|c [2017]
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|a 1 online resource (1 streaming video file (1 hr., 24 min., 13 sec.)) :
|b digital, sound, color
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|a two-dimensional moving image
|b tdi
|2 rdacontent
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|a computer
|b c
|2 rdamedia
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|a video
|b v
|2 rdamedia
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|a online resource
|b cr
|2 rdacarrier
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|a Presenter, Frank Kane.
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|a Title from title screen (viewed April 18, 2017).
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|a Date of publication from resource description page.
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|a "This is a hands-on course where Amazon Web Services pro Frank Kane shows you how to rent Amazon's Elastic MapReduce service (EMR) at minimal cost and use it to run Spark scripts on top of a real Hadoop cluster. Kane's approach is fun: You'll learn a Big Data analysis process by actually deploying Spark on EMR to build a working movie recommendation engine using real movie ratings data."--Resource description page.
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|a O'Reilly
|b O'Reilly Online Learning: Academic/Public Library Edition
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0 |
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|a Spark (Electronic resource : Apache Software Foundation)
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|a Spark (Electronic resource : Apache Software Foundation)
|2 fast
|0 (OCoLC)fst01938143
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650 |
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|a Big data.
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650 |
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|a Cloud computing.
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650 |
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|a Data mining.
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650 |
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|a Données volumineuses.
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|a Infonuagique.
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650 |
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|a Exploration de données (Informatique)
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650 |
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7 |
|a Big data.
|2 fast
|0 (OCoLC)fst01892965
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650 |
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7 |
|a Cloud computing.
|2 fast
|0 (OCoLC)fst01745899
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650 |
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7 |
|a Data mining.
|2 fast
|0 (OCoLC)fst00887946
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|u https://learning.oreilly.com/videos/~/9781491985120/?ar
|z Texto completo (Requiere registro previo con correo institucional)
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|a 92
|b IZTAP
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