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180309s2018 xx 848 o vleng d |
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|a UMI
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|a (OCoLC)1028052099
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|a CL0500000945
|b Safari Books Online
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|a QA76.9.D5
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|a UAMI
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|a Eadline, Doug,
|d 1956-
|e on-screen presenter.
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1 |
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|a Hadoop and Spark fundamentals :
|b LiveLessons /
|c Doug Eadline.
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250 |
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|a Third edition.
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264 |
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1 |
|a [Place of publication not identified] :
|b Pearson,
|c [2018]
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264 |
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|c ©2018
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300 |
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|a 1 online resource (1 streaming video file (14 hr., 7 min., 20 sec.))
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|a two-dimensional moving image
|b tdi
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|a computer
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|2 rdamedia
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|a video
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|a online resource
|b cr
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|a data file
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|a Videorecording
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490 |
1 |
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|a LiveLessons
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0 |
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|a Presenter, Doug Eadline.
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|a Title from title screen (viewed March 6, 2018).
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|a "Hadoop and Spark Fundamentals LiveLessons provides 9+ hours of video introduction to the Apache Hadoop Big Data ecosystem. The tutorial includes background information and explains the core components of Hadoop, including Hadoop Distributed File Systems (HDFS), MapReduce, the YARN resource manager, and YARN Frameworks. In addition, it demonstrates how to use Hadoop at several levels, including the native Java interface, C++ pipes, and the universal streaming program interface. Examples include how to use benchmarks and high-level tools, including the Apache Pig scripting language, Apache Hive "SQL-like" interface, Apache Flume for streaming input, Apache Sqoop for import and export of relational data, and Apache Oozie for Hadoop workflow management. In addition, there is comprehensive coverage of Spark, PySpark, and the Zeppelin web-GUI. The steps for easily installing a working Hadoop/Spark system on a desktop/laptop and on a local stand-alone cluster using the powerful Ambari GUI are also included. All software used in these LiveLessons is open source and freely available for your use and experimentation. A bonus lesson includes a quick primer on the Linux command line as used with Hadoop and Spark."--Resource description page
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590 |
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|a O'Reilly
|b O'Reilly Online Learning: Academic/Public Library Edition
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630 |
0 |
0 |
|a Apache Hadoop.
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630 |
0 |
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|a Spark (Electronic resource : Apache Software Foundation)
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630 |
0 |
7 |
|a Apache Hadoop.
|2 fast
|0 (OCoLC)fst01911570
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630 |
0 |
7 |
|a Spark (Electronic resource : Apache Software Foundation)
|2 fast
|0 (OCoLC)fst01938143
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650 |
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|a File organization (Computer science)
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650 |
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|a Electronic data processing
|x Distributed processing.
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650 |
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6 |
|a Fichiers (Informatique)
|x Organisation.
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650 |
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6 |
|a Traitement réparti.
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650 |
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7 |
|a Electronic data processing
|x Distributed processing.
|2 fast
|0 (OCoLC)fst00906987
|
650 |
|
7 |
|a File organization (Computer science)
|2 fast
|0 (OCoLC)fst00924147
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830 |
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|a LiveLessons (Indianapolis, Ind.)
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856 |
4 |
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|u https://learning.oreilly.com/videos/~/9780134770871/?ar
|z Texto completo (Requiere registro previo con correo institucional)
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994 |
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|a 92
|b IZTAP
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