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The Resource Hadoop in Practice, Holmes, Alex, (electronic resource)
Hadoop in Practice, Holmes, Alex, (electronic resource)
Resource Information
The item Hadoop in Practice, Holmes, Alex, (electronic resource) represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in San Francisco Public Library.This item is available to borrow from all library branches.
Resource Information
The item Hadoop in Practice, Holmes, Alex, (electronic resource) represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in San Francisco Public Library.
This item is available to borrow from all library branches.
- Summary
- Summary Hadoop in Practice collects 85 Hadoop examples and presents them in a problem/solution format. Each technique addresses a specific task you'll face, like querying big data using Pig or writing a log file loader. You'll explore each problem step by step, learning both how to build and deploy that specific solution along with the thinking that went into its design. As you work through the tasks, you'll find yourself growing more comfortable with Hadoop and at home in the world of big data. About the Technology Hadoop is an open source MapReduce platform designed to query and analyze data distributed across large clusters. Especially effective for big data systems, Hadoop powers mission-critical software at Apple, eBay, LinkedIn, Yahoo, and Facebook. It offers developers handy ways to store, manage, and analyze data. About the Book Hadoop in Practice collects 85 battle-tested examples and presents them in a problem/solution format. It balances conceptual foundations with practical recipes for key problem areas like data ingress and egress, serialization, and LZO compression. You’ll explore each technique step by step, learning how to build a specific solution along with the thinking that went into it. As a bonus, the book’s examples create a well-structured and understandable codebase you can tweak to meet your own needs. This book assumes the reader knows the basics of Hadoop. What's Inside - Conceptual overview of Hadoop and MapReduce - 85 practical, tested techniques - Real problems, real solutions - How to integrate MapReduce and R About the Author Alex Holmes is a senior software engineer with extensive expertise in solving big data problems using Hadoop. He has presented at JavaOne and Jazoon and is a technical lead at VeriSign
- Language
-
- eng
- eng
- Edition
- 1st edition
- Extent
- 1 online resource (536 pages)
- Label
- Hadoop in Practice
- Title
- Hadoop in Practice
- Statement of responsibility
- Holmes, Alex
- Language
-
- eng
- eng
- Summary
- Summary Hadoop in Practice collects 85 Hadoop examples and presents them in a problem/solution format. Each technique addresses a specific task you'll face, like querying big data using Pig or writing a log file loader. You'll explore each problem step by step, learning both how to build and deploy that specific solution along with the thinking that went into its design. As you work through the tasks, you'll find yourself growing more comfortable with Hadoop and at home in the world of big data. About the Technology Hadoop is an open source MapReduce platform designed to query and analyze data distributed across large clusters. Especially effective for big data systems, Hadoop powers mission-critical software at Apple, eBay, LinkedIn, Yahoo, and Facebook. It offers developers handy ways to store, manage, and analyze data. About the Book Hadoop in Practice collects 85 battle-tested examples and presents them in a problem/solution format. It balances conceptual foundations with practical recipes for key problem areas like data ingress and egress, serialization, and LZO compression. You’ll explore each technique step by step, learning how to build a specific solution along with the thinking that went into it. As a bonus, the book’s examples create a well-structured and understandable codebase you can tweak to meet your own needs. This book assumes the reader knows the basics of Hadoop. What's Inside - Conceptual overview of Hadoop and MapReduce - 85 practical, tested techniques - Real problems, real solutions - How to integrate MapReduce and R About the Author Alex Holmes is a senior software engineer with extensive expertise in solving big data problems using Hadoop. He has presented at JavaOne and Jazoon and is a technical lead at VeriSign
- http://library.link/vocab/creatorName
- Holmes, Alex
- Nature of contents
- dictionaries
- http://library.link/vocab/relatedWorkOrContributorName
- Safari, an O’Reilly Media Company
- Label
- Hadoop in Practice, Holmes, Alex, (electronic resource)
- Link
- Carrier category
- online resource
- Carrier category code
-
- cr
- Carrier MARC source
- rdacarrier
- Color
- multicolored
- Content category
- text
- Content type code
-
- txt
- Content type MARC source
- rdacontent
- Dimensions
- unknown
- Edition
- 1st edition
- Extent
- 1 online resource (536 pages)
- Form of item
- online
- Issuing body
- Made available through: Safari, an O’Reilly Media Company.
- Media category
- computer
- Media MARC source
- rdamedia
- Media type code
-
- c
- Other control number
- 9781617290237
- Reproduction note
- Electronic reproduction.
- Specific material designation
- remote
- System control number
- (CaSebORM)9781617290237
- System details
- Mode of access: World Wide Web
- Label
- Hadoop in Practice, Holmes, Alex, (electronic resource)
- Link
- Carrier category
- online resource
- Carrier category code
-
- cr
- Carrier MARC source
- rdacarrier
- Color
- multicolored
- Content category
- text
- Content type code
-
- txt
- Content type MARC source
- rdacontent
- Dimensions
- unknown
- Edition
- 1st edition
- Extent
- 1 online resource (536 pages)
- Form of item
- online
- Issuing body
- Made available through: Safari, an O’Reilly Media Company.
- Media category
- computer
- Media MARC source
- rdamedia
- Media type code
-
- c
- Other control number
- 9781617290237
- Reproduction note
- Electronic reproduction.
- Specific material designation
- remote
- System control number
- (CaSebORM)9781617290237
- System details
- Mode of access: World Wide Web
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Bayview/Linda Brooks-Burton LibraryBorrow it5075 3rd Street, San Francisco, CA, 94124, US37.732534 -122.391121
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Bernal Heights LibraryBorrow it500 Cortland Avenue, San Francisco, CA, 94110, US37.738862 -122.416132
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Bookmobiles / Mobile OutreachBorrow itSan Francisco, CA, US
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Chinatown/Him Mark Lai LibraryBorrow it1135 Powell Street, San Francisco, CA, 94108, US37.795248 -122.410239
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Golden Gate Valley LibraryBorrow it1801 Green Street, San Francisco, CA, 94123, US37.797819 -122.428950
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Noe Valley/Sally Brunn LibraryBorrow it451 Jersey Street, San Francisco, CA, 94114, US37.750180 -122.435116
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North Beach LibraryBorrow it850 Columbus Avenue, San Francisco, CA, 94133, US37.802585 -122.413280
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Presidio LibraryBorrow it3150 Sacramento Street, San Francisco, CA, 94115, US37.788875 -122.444892
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Richmond/Senator Milton Marks LibraryBorrow it351 9th Ave, San Francisco, CA, 94118, US37.781855 -122.468054
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San Francisco Public LibraryBorrow it100 Larkin Street, San Francisco, CA, 94102, US37.779376 -122.415795
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Visitacion Valley LibraryBorrow it201 Leland Avenue, San Francisco, CA, 94134, US37.712695 -122.407913
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<div class="citation" vocab="http://schema.org/"><i class="fa fa-external-link-square fa-fw"></i> Data from <span resource="http://link.sfpl.org/portal/Hadoop-in-Practice-Holmes-Alex-electronic/BGs7UU7HCtY/" typeof="Book http://bibfra.me/vocab/lite/Item"><span property="name http://bibfra.me/vocab/lite/label"><a href="http://link.sfpl.org/portal/Hadoop-in-Practice-Holmes-Alex-electronic/BGs7UU7HCtY/">Hadoop in Practice, Holmes, Alex, (electronic resource)</a></span> - <span property="potentialAction" typeOf="OrganizeAction"><span property="agent" typeof="LibrarySystem http://library.link/vocab/LibrarySystem" resource="http://link.sfpl.org/"><span property="name http://bibfra.me/vocab/lite/label"><a property="url" href="http://link.sfpl.org/">San Francisco Public Library</a></span></span></span></span></div>
