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171218s2017 xx 479 o vleng d |
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|a UMI
|b eng
|e rda
|e pn
|c UMI
|d OCLCF
|d TOH
|d S9I
|d UAB
|d OCLCQ
|d OCLCO
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|a AU@
|b 000067119313
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|a (OCoLC)1015687282
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|a CL0500000920
|b Safari Books Online
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|a QA.76.9.C55
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|a UAMI
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100 |
1 |
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|a Kane, Frank,
|e on-screen presenter.
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245 |
1 |
0 |
|a Elasticsearch 5 and Elastic Stack :
|b in depth and hands on! /
|c Frank Kane.
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264 |
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1 |
|a [Place of publication not identified] :
|b Packt Publishing,
|c 2017.
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300 |
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|a 1 online resource (1 streaming video file (7 hr., 58 min., 38 sec.))
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336 |
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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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347 |
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|a data file
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|a Videorecording
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|a Title from resource description page (viewed December 18, 2017).
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|a Presenter, Frank Kane.
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|a "Elasticsearch is a powerful tool not only for powering search on big websites, but also for analyzing big data sets in a matter of milliseconds! It's an increasingly popular technology, and a valuable skill to have in today's job market. We'll cover setting up search indices on an Elasticsearch cluster, and querying that data in many different ways. Fuzzy searches, partial matches, search-as-you-type, pagination, sorting - you name it. And it's not just theory, every lesson has hands-on examples where you'll practice each skill using a virtual machine running Elasticsearch on your own PC. We cover, in depth, the often-overlooked problem of importing data into an Elasticsearch index. Whether it's via raw RESTful queries, scripts using Elasticsearch API's, or integration with other "big data" systems like Spark and Kafka - you'll see many ways to get Elasticsearch started from large, existing data sets at scale. We'll also stream data into Elasticsearch using Logstash and Filebeat - commonly referred to as the "ELK Stack" (Elasticsearch / Logstash / Kibana) or the "Elastic Stack". Elasticsearch isn't just for search anymore - it has powerful aggregation capabilities for structured data. We'll bucket and analyze data using Elasticsearch, and visualize it using the Elastic Stack's web UI, Kibana. Elasticsearch is positioning itself to be a much faster alternative to Hadoop, Spark, and Flink for many common data analysis requirements. It's an important tool to understand, and it's easy to use! Dive in with me and I'll show you what it's all about."--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 |
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|a Lucene (Electronic resource)
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630 |
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7 |
|a Lucene (Electronic resource)
|2 fast
|0 (OCoLC)fst01403193
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650 |
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|a Web search engines.
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650 |
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|a Data mining.
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650 |
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|a Open source software.
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650 |
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2 |
|a Data Mining
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650 |
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6 |
|a Moteurs de recherche sur Internet.
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650 |
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6 |
|a Exploration de données (Informatique)
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650 |
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6 |
|a Logiciels libres.
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650 |
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7 |
|a Data mining.
|2 fast
|0 (OCoLC)fst00887946
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650 |
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7 |
|a Open source software.
|2 fast
|0 (OCoLC)fst01046097
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650 |
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7 |
|a Web search engines.
|2 fast
|0 (OCoLC)fst01173234
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856 |
4 |
0 |
|u https://learning.oreilly.com/videos/~/9781788995122/?ar
|z Texto completo (Requiere registro previo con correo institucional)
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994 |
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|a 92
|b IZTAP
|