Instant MapReduce patterns - Hadoop essentials how-to :: practical recipes to write your own MapReduce solution patterns for Hadoop programs /
Filled with practical, step-by-step instructions and clear explanations for the most important and useful tasks. This is a Packt Instant How-to guide, which provides concise and clear recipes for getting started with Hadoop. This book is for big data enthusiasts and would-be Hadoop programmers. It i...
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Birmingham :
Packt Pub.,
2013.
|
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Zusammenfassung: | Filled with practical, step-by-step instructions and clear explanations for the most important and useful tasks. This is a Packt Instant How-to guide, which provides concise and clear recipes for getting started with Hadoop. This book is for big data enthusiasts and would-be Hadoop programmers. It is also meant for Java programmers who either have not worked with Hadoop at all, or who know Hadoop and MapReduce but are not sure how to deepen their understanding. |
| Beschreibung: | 1 online resource (47 pages) : illustrations |
| ISBN: | 9781782167716 1782167714 1299664547 9781299664548 |
| Zugangseinschränkungen: | Legal Deposit; |
Internformat
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| contents | Writing a word count application using Java (simple) -- Writing a word count application with MapReduce and running it (simple) -- Installing Hadoop in a distributed setup and running a word count application (simple) -- Writing a formatter (intermediate) -- Analytics : drawing a frequency distribution with MapReduce (intermediate) -- Relational operations : join two datasets with MapReduce (advanced) -- Set operations MapReduce (intermediate) -- Cross correlation with MapReduce (intermediate) -- Simple search with MapReduce (intermediate) -- Simple graph operations with MapReduce (advanced) -- Kmeans with MapReduce (advanced). |
| ctrlnum | (OCoLC)849919040 |
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| dewey-ones | 005 - Computer programming, programs, data, security |
| dewey-raw | 005.4 |
| dewey-search | 005.4 |
| dewey-sort | 15.4 |
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| discipline | Informatik |
| format | Electronic eBook |
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| id | ZDB-4-EBA-ocn849919040 |
| illustrated | Illustrated |
| indexdate | 2024-11-27T13:25:24Z |
| institution | BVB |
| isbn | 9781782167716 1782167714 1299664547 9781299664548 |
| language | English |
| oclc_num | 849919040 |
| open_access_boolean | |
| owner | MAIN DE-863 DE-BY-FWS |
| owner_facet | MAIN DE-863 DE-BY-FWS |
| physical | 1 online resource (47 pages) : illustrations |
| psigel | ZDB-4-EBA |
| publishDate | 2013 |
| publishDateSearch | 2013 |
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| publisher | Packt Pub., |
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| spelling | Perera, Srinath. http://id.loc.gov/authorities/names/n2014069715 Instant MapReduce patterns - Hadoop essentials how-to : practical recipes to write your own MapReduce solution patterns for Hadoop programs / Srinath Perera. MapReduce patterns - Hadoop essentials how-to Birmingham : Packt Pub., 2013. 1 online resource (47 pages) : illustrations text txt rdacontent computer c rdamedia online resource cr rdacarrier Writing a word count application using Java (simple) -- Writing a word count application with MapReduce and running it (simple) -- Installing Hadoop in a distributed setup and running a word count application (simple) -- Writing a formatter (intermediate) -- Analytics : drawing a frequency distribution with MapReduce (intermediate) -- Relational operations : join two datasets with MapReduce (advanced) -- Set operations MapReduce (intermediate) -- Cross correlation with MapReduce (intermediate) -- Simple search with MapReduce (intermediate) -- Simple graph operations with MapReduce (advanced) -- Kmeans with MapReduce (advanced). Filled with practical, step-by-step instructions and clear explanations for the most important and useful tasks. This is a Packt Instant How-to guide, which provides concise and clear recipes for getting started with Hadoop. This book is for big data enthusiasts and would-be Hadoop programmers. It is also meant for Java programmers who either have not worked with Hadoop at all, or who know Hadoop and MapReduce but are not sure how to deepen their understanding. Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK). WlAbNL Apache Hadoop. http://id.loc.gov/authorities/names/n2013024279 Apache Hadoop. blmlsh Apache Hadoop fast Electronic data processing Distributed processing. http://id.loc.gov/authorities/subjects/sh85042293 Cluster analysis Data processing. Software patterns. http://id.loc.gov/authorities/subjects/sh98003823 Traitement réparti. Classification automatique (Statistique) Informatique. Logiciels Modèles de conception. COMPUTERS Operating Systems DOS. bisacsh COMPUTERS Operating Systems Windows Server & NT. bisacsh COMPUTERS Operating Systems Windows Workstation. bisacsh COMPUTERS System Administration Windows Administration. bisacsh Cluster analysis Data processing fast Electronic data processing Distributed processing fast Software patterns fast has work: Instant MapReduce patterns - Hadoop essentials how-to (Text) https://id.oclc.org/worldcat/entity/E39PCH9jrG8bdVR3DXq8k9jkwy https://id.oclc.org/worldcat/ontology/hasWork Print version: 9781299664548 FWS01 ZDB-4-EBA FWS_PDA_EBA https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=587809 Volltext |
| spellingShingle | Perera, Srinath Instant MapReduce patterns - Hadoop essentials how-to : practical recipes to write your own MapReduce solution patterns for Hadoop programs / Writing a word count application using Java (simple) -- Writing a word count application with MapReduce and running it (simple) -- Installing Hadoop in a distributed setup and running a word count application (simple) -- Writing a formatter (intermediate) -- Analytics : drawing a frequency distribution with MapReduce (intermediate) -- Relational operations : join two datasets with MapReduce (advanced) -- Set operations MapReduce (intermediate) -- Cross correlation with MapReduce (intermediate) -- Simple search with MapReduce (intermediate) -- Simple graph operations with MapReduce (advanced) -- Kmeans with MapReduce (advanced). Apache Hadoop. http://id.loc.gov/authorities/names/n2013024279 Apache Hadoop. blmlsh Apache Hadoop fast Electronic data processing Distributed processing. http://id.loc.gov/authorities/subjects/sh85042293 Cluster analysis Data processing. Software patterns. http://id.loc.gov/authorities/subjects/sh98003823 Traitement réparti. Classification automatique (Statistique) Informatique. Logiciels Modèles de conception. COMPUTERS Operating Systems DOS. bisacsh COMPUTERS Operating Systems Windows Server & NT. bisacsh COMPUTERS Operating Systems Windows Workstation. bisacsh COMPUTERS System Administration Windows Administration. bisacsh Cluster analysis Data processing fast Electronic data processing Distributed processing fast Software patterns fast |
| subject_GND | http://id.loc.gov/authorities/names/n2013024279 http://id.loc.gov/authorities/subjects/sh85042293 http://id.loc.gov/authorities/subjects/sh98003823 |
| title | Instant MapReduce patterns - Hadoop essentials how-to : practical recipes to write your own MapReduce solution patterns for Hadoop programs / |
| title_alt | MapReduce patterns - Hadoop essentials how-to |
| title_auth | Instant MapReduce patterns - Hadoop essentials how-to : practical recipes to write your own MapReduce solution patterns for Hadoop programs / |
| title_exact_search | Instant MapReduce patterns - Hadoop essentials how-to : practical recipes to write your own MapReduce solution patterns for Hadoop programs / |
| title_full | Instant MapReduce patterns - Hadoop essentials how-to : practical recipes to write your own MapReduce solution patterns for Hadoop programs / Srinath Perera. |
| title_fullStr | Instant MapReduce patterns - Hadoop essentials how-to : practical recipes to write your own MapReduce solution patterns for Hadoop programs / Srinath Perera. |
| title_full_unstemmed | Instant MapReduce patterns - Hadoop essentials how-to : practical recipes to write your own MapReduce solution patterns for Hadoop programs / Srinath Perera. |
| title_short | Instant MapReduce patterns - Hadoop essentials how-to : |
| title_sort | instant mapreduce patterns hadoop essentials how to practical recipes to write your own mapreduce solution patterns for hadoop programs |
| title_sub | practical recipes to write your own MapReduce solution patterns for Hadoop programs / |
| topic | Apache Hadoop. http://id.loc.gov/authorities/names/n2013024279 Apache Hadoop. blmlsh Apache Hadoop fast Electronic data processing Distributed processing. http://id.loc.gov/authorities/subjects/sh85042293 Cluster analysis Data processing. Software patterns. http://id.loc.gov/authorities/subjects/sh98003823 Traitement réparti. Classification automatique (Statistique) Informatique. Logiciels Modèles de conception. COMPUTERS Operating Systems DOS. bisacsh COMPUTERS Operating Systems Windows Server & NT. bisacsh COMPUTERS Operating Systems Windows Workstation. bisacsh COMPUTERS System Administration Windows Administration. bisacsh Cluster analysis Data processing fast Electronic data processing Distributed processing fast Software patterns fast |
| topic_facet | Apache Hadoop. Apache Hadoop Electronic data processing Distributed processing. Cluster analysis Data processing. Software patterns. Traitement réparti. Classification automatique (Statistique) Informatique. Logiciels Modèles de conception. COMPUTERS Operating Systems DOS. COMPUTERS Operating Systems Windows Server & NT. COMPUTERS Operating Systems Windows Workstation. COMPUTERS System Administration Windows Administration. Cluster analysis Data processing Electronic data processing Distributed processing Software patterns |
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