Instant MapReduce patterns - Hadoop essentials how-to : practical recipes to write your own MapReduce solution patterns for Hadoop programs /

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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...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Perera, Srinath
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Birmingham : Packt Pub., 2013.
Temas:
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
Acceso en línea:Texto completo
Tabla de Contenidos:
  • 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).

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