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EBSCO_ocn929952731 |
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OCoLC |
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20231017213018.0 |
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m o d |
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cr unu|||||||| |
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151119s2015 enka o 001 0 eng d |
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|a UMI
|b eng
|e rda
|e pn
|c UMI
|d OCLCF
|d DEBBG
|d DEBSZ
|d VT2
|d N$T
|d CEF
|d UAB
|d RDF
|d OCLCO
|d OCLCQ
|d QGK
|d OCLCO
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| 019 |
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|a 1259242405
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|a 9781785282249
|q (electronic bk.)
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|a 1785282247
|q (electronic bk.)
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|z 1785282247
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|z 1785288997
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|z 9781785288999
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| 029 |
1 |
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|a DEBBG
|b BV043967939
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| 029 |
1 |
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|a DEBSZ
|b 485784262
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| 029 |
1 |
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|a GBVCP
|b 882745743
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| 035 |
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|a (OCoLC)929952731
|z (OCoLC)1259242405
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| 037 |
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|a CL0500000675
|b Safari Books Online
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| 050 |
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4 |
|a QA76.9.D5
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| 072 |
|
7 |
|a COM
|x 021030
|2 bisacsh
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| 082 |
0 |
4 |
|a 004.36
|2 23
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| 049 |
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|a UAMI
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| 100 |
1 |
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|a Shukla, Vishal,
|e author.
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| 245 |
1 |
0 |
|a Elasticsearch for Hadoop :
|b integrate Elasticsearch into Hadoop to effectively visualize and analyze your data /
|c Vishal Shukla.
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| 264 |
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1 |
|a Birmingham, UK :
|b Packt Publishing,
|c 2015.
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| 300 |
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|a 1 online resource (1 volume) :
|b illustrations.
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| 336 |
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|a text
|b txt
|2 rdacontent
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| 337 |
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|a computer
|b c
|2 rdamedia
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| 338 |
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|a online resource
|b cr
|2 rdacarrier
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| 490 |
1 |
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|a Community experience distilled
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| 588 |
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|a Description based on online resource; title from cover page (Safari, viewed November 16, 2015).
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| 500 |
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|a Includes index.
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| 505 |
0 |
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|a Cover; Copyright; Credits; About the Author; About the Reviewers; www.PacktPub.com; Table of Contents; Preface; Chapter 1: Setting Up Environment; Setting up Hadoop for Elasticsearch; Setting up Java; Setting up a dedicated user; Installing SSH and setting up the certificate; Downloading Hadoop; Setting up environment variables; Configuring Hadoop; Configuring core-site.xml; Configuring hdfs-site.xml; Configuring yarn-site.xml; Configuring mapred-site.xml; The format distributed filesystem; Starting Hadoop daemons; Setting up Elasticsearch; Downloading Elasticsearch; Configuring Elasticsearch
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| 505 |
8 |
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|a Installing Elasticsearch's Head pluginInstalling the Marvel plugin; Running and testing; Running the WordCount example; Getting the examples and building the job JAR file; Importing the test file to HDFS; Running our first job; Exploring data in Head and Marvel; Viewing data in Head; Using the Marvel dashboard; Exploring the data in Sense; Summary; Chapter 2: Getting Started with ES-Hadoop; Understanding the WordCount program; Understanding Mapper; Understanding the reducer; Understanding the driver; Using the old API -- org.apache.hadoop.mapred; Going real -- network monitoring data
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| 505 |
8 |
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|a Getting and understanding the dataKnowing the problems; Solution approaches; Approach 1 -- Preaggregate the results; Approach 2 -- Aggregate the results at query-time; Writing the NetworkLogsMapper job; Writing the mapper class; Writing Driver; Building the job; Getting the data into HDFS; Running the job; Viewing the Top N results; Getting data from Elasticsearch to HDFS; Understanding the Twitter dataset; Trying it yourself; Creating the MapReduce job to import data from Elasticsearch to HDFS; Writing the Tweets2Hdfs mapper; Running the example; Testing the job execution output; Summary
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| 505 |
8 |
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|a Chapter 3: Understanding ElasticsearchKnowing Search and Elasticsearch; The paradigm mismatch; Index; Type; Document; Field; Talking to Elasticsearch; CRUD with Elasticsearch; Creating the document request; Mappings; Data types; Create mapping API; Index templates; Controlling the indexing process; What is an inverted index?; The input data analysis; Removing stop words; Case insensitive; Stemming; Synonyms; Analyzers; Elastic searching; Writing search queries; The URI search; Matching all queries; The term query; The boolean query; The match query; The range query; The wildcard query
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| 505 |
8 |
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|a FiltersAggregations; Executing the aggregation queries; The terms aggregation; Histograms; The range aggregation; The geo distance; Sub-aggregations; Try it yourself; Summary; Chapter 4: Visualizing Big Data Using Kibana; Setting up and getting started; Setting up Kibana; Setting up datasets; Try it out; Getting started with Kibana; Discovering data; Visualizing the data; The pie chart; The stacked bar chart; The date histogram with the stacked bar chart; The area chart; The split pie chart; The sun burst chart; The geographical chart; Trying it out; Creating dynamic dashboards; Summary
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| 546 |
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|a English.
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| 590 |
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|a eBooks on EBSCOhost
|b EBSCO eBook Subscription Academic Collection - Worldwide
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| 630 |
0 |
0 |
|a Apache Hadoop.
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| 630 |
0 |
7 |
|a Apache Hadoop
|2 fast
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| 650 |
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0 |
|a Information visualization.
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| 650 |
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|a Data mining.
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| 650 |
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6 |
|a Visualisation de l'information.
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| 650 |
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6 |
|a Exploration de données (Informatique)
|
| 650 |
|
7 |
|a COMPUTERS / Databases / Data Mining
|2 bisacsh
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| 650 |
|
7 |
|a Data mining
|2 fast
|
| 650 |
|
7 |
|a Information visualization
|2 fast
|
| 776 |
|
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|z 1-78528-899-7
|
| 830 |
|
0 |
|a Community experience distilled.
|
| 856 |
4 |
0 |
|u https://ebsco.uam.elogim.com/login.aspx?direct=true&scope=site&db=nlebk&AN=1087753
|z Texto completo
|
| 938 |
|
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|a EBSCOhost
|b EBSC
|n 1087753
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| 994 |
|
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|a 92
|b IZTAP
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