Programming Elastic MapReduce
(eBook)
Author
Contributors
Published
Sebastopol, CA : O'Reilly Media, ©2014.
Format
eBook
ISBN
1449363628, 9781449363628, 9781449364045, 1449364047
Physical Desc
1 online resource (1 volume) : illustrations
Status
Description
Loading Description...
Also in this Series
Checking series information...
Subjects
LC Subjects
Bisac Subjects
OCLC Fast Subjects
More Details
Language
English
Notes
Description
Although you don't need a large computing infrastructure to process massive amounts of data with Apache Hadoop, it can still be difficult to get started. This practical guide shows you how to quickly launch data analysis projects in the cloud by using Amazon Elastic MapReduce (EMR), the hosted Hadoop framework in Amazon Web Services (AWS). Authors Kevin Schmidt and Christopher Phillips demonstrate best practices for using EMR and various AWS and Apache technologies by walking you through the construction of a sample MapReduce log analysis application. Using code samples and example configurations, you'll learn how to assemble the building blocks necessary to solve your biggest data analysis problems. Get an overview of the AWS and Apache software tools used in large-scale data analysis Go through the process of executing a Job Flow with a simple log analyzer Discover useful MapReduce patterns for filtering and analyzing data sets Use Apache Hive and Pig instead of Java to build a MapReduce Job Flow Learn the basics for using Amazon EMR to run machine learning algorithms Develop a project cost model for using Amazon EMR and other AWS tools.
Local note
O'Reilly,O'Reilly Online Learning: Academic/Public Library Edition
Reviews from GoodReads
Loading GoodReads Reviews.
Citations
APA Citation, 7th Edition (style guide)
Schmidt, K. J., & Phillips, C. (2014). Programming Elastic MapReduce . O'Reilly Media.
Chicago / Turabian - Author Date Citation, 17th Edition (style guide)Schmidt, Kevin J and Chris Phillips. 2014. Programming Elastic MapReduce. O'Reilly Media.
Chicago / Turabian - Humanities (Notes and Bibliography) Citation, 17th Edition (style guide)Schmidt, Kevin J and Chris Phillips. Programming Elastic MapReduce O'Reilly Media, 2014.
MLA Citation, 9th Edition (style guide)Schmidt, Kevin J., and Chris Phillips. Programming Elastic MapReduce O'Reilly Media, 2014.
Note! Citations contain only title, author, edition, publisher, and year published. Citations should be used as a guideline and should be double checked for accuracy. Citation formats are based on standards as of August 2021.
Staff View
Grouped Work ID
51b557da-9ad9-3e1b-0f99-9150be6a4781-eng
Grouping Information
Grouped Work ID | 51b557da-9ad9-3e1b-0f99-9150be6a4781-eng |
---|---|
Full title | programming elastic mapreduce |
Author | schmidt kevin j |
Grouping Category | book |
Last Update | 2024-04-16 12:23:35PM |
Last Indexed | 2024-04-17 02:50:35AM |
Book Cover Information
Image Source | syndetics |
---|---|
First Loaded | Nov 23, 2022 |
Last Used | Dec 15, 2023 |
Marc Record
First Detected | Nov 09, 2022 03:44:24 PM |
---|---|
Last File Modification Time | Apr 16, 2024 12:31:12 PM |
MARC Record
LEADER | 04156cam a2200661 a 4500 | ||
---|---|---|---|
001 | ocn870275289 | ||
003 | OCoLC | ||
005 | 20240405112445.0 | ||
006 | m o d | ||
007 | cr unu|||||||| | ||
008 | 140210s2014 caua o 001 0 eng d | ||
019 | |a 968071670|a 969048298 | ||
020 | |a 1449363628 | ||
020 | |a 9781449363628 | ||
020 | |a 9781449364045 | ||
020 | |a 1449364047 | ||
020 | |z 9781449363628 | ||
029 | 1 | |a DEBBG|b BV041783842 | |
029 | 1 | |a DEBSZ|b 404335535 | |
029 | 1 | |a GBVCP|b 882725556 | |
035 | |a (OCoLC)870275289|z (OCoLC)968071670|z (OCoLC)969048298 | ||
037 | |a CL0500000380|b Safari Books Online | ||
040 | |a UMI|b eng|e pn|c UMI|d COO|d DEBBG|d CUS|d DEBSZ|d OCLCQ|d OCLCF|d OCLCQ|d FEM|d OCLCQ|d CEF|d UAB|d AU@|d OCLCO|d OCLCQ|d OCLCO|d OCLCL | ||
049 | |a TKLA | ||
050 | 4 | |a QA76.9.D5|b S36 2014 | |
082 | 0 | 4 | |a 004|q OCoLC |
100 | 1 | |a Schmidt, Kevin J.|q (Kevin James)|1 https://id.oclc.org/worldcat/entity/E39PCjvrdTp6htf3Vwj93rvY6C|0 http://id.loc.gov/authorities/names/no2001084779 | |
245 | 1 | 0 | |a Programming Elastic MapReduce /|c Kevin Schmidt and Christopher Phillips. |
246 | 1 | |i Subtitle on cover:|a Using AWS services to build an end-to-end application | |
260 | |a Sebastopol, CA :|b O'Reilly Media,|c ©2014. | ||
300 | |a 1 online resource (1 volume) :|b illustrations | ||
336 | |a text|b txt|2 rdacontent | ||
337 | |a computer|b c|2 rdamedia | ||
338 | |a online resource|b cr|2 rdacarrier | ||
347 | |a text file | ||
520 | |a Although you don't need a large computing infrastructure to process massive amounts of data with Apache Hadoop, it can still be difficult to get started. This practical guide shows you how to quickly launch data analysis projects in the cloud by using Amazon Elastic MapReduce (EMR), the hosted Hadoop framework in Amazon Web Services (AWS). Authors Kevin Schmidt and Christopher Phillips demonstrate best practices for using EMR and various AWS and Apache technologies by walking you through the construction of a sample MapReduce log analysis application. Using code samples and example configurations, you'll learn how to assemble the building blocks necessary to solve your biggest data analysis problems. Get an overview of the AWS and Apache software tools used in large-scale data analysis Go through the process of executing a Job Flow with a simple log analyzer Discover useful MapReduce patterns for filtering and analyzing data sets Use Apache Hive and Pig instead of Java to build a MapReduce Job Flow Learn the basics for using Amazon EMR to run machine learning algorithms Develop a project cost model for using Amazon EMR and other AWS tools. | ||
588 | 0 | |a Online resource; title from title page (Safari, viewed January 30, 2014). | |
590 | |a O'Reilly|b O'Reilly Online Learning: Academic/Public Library Edition | ||
630 | 0 | 0 | |a Apache Hadoop.|0 http://id.loc.gov/authorities/names/n2013024279 |
630 | 0 | 7 | |a Apache Hadoop.|2 blmlsh |
630 | 0 | 7 | |a Apache Hadoop|2 fast |
650 | 0 | |a Electronic data processing|x Distributed processing.|0 http://id.loc.gov/authorities/subjects/sh85042293 | |
650 | 0 | |a Big data.|0 http://id.loc.gov/authorities/subjects/sh2012003227 | |
650 | 0 | |a Web services.|0 http://id.loc.gov/authorities/subjects/sh2003001435 | |
650 | 0 | |a Internet programming.|0 http://id.loc.gov/authorities/subjects/sh96009904 | |
650 | 6 | |a Traitement réparti. | |
650 | 6 | |a Données volumineuses. | |
650 | 6 | |a Services Web. | |
650 | 6 | |a Programmation Internet. | |
650 | 1 | 7 | |a Internet programming.|2 bisacsh |
650 | 7 | |a Big data|2 fast | |
650 | 7 | |a Electronic data processing|x Distributed processing|2 fast | |
650 | 7 | |a Internet programming|2 fast | |
650 | 7 | |a Web services|2 fast | |
700 | 1 | |a Phillips, Chris,|d 1971-|1 https://id.oclc.org/worldcat/entity/E39PCjvBd6Hr8DJk3JcpHfKJ9P|0 http://id.loc.gov/authorities/names/n2013003142 | |
758 | |i has work:|a Programming elastic mapreduce (Text)|1 https://id.oclc.org/worldcat/entity/E39PCGDQwhyGVWV93cWtbcKMmq|4 https://id.oclc.org/worldcat/ontology/hasWork | ||
856 | 4 | 0 | |u https://ezproxy.knoxlib.org/login?url=https://learning.oreilly.com/library/view/~/9781449364038/?ar |
994 | |a 92|b TKL |