Hadoop MapReduce cookbook : recipes for analyzing large and complex datasets with Hadoop MapReduce /

Individual self-contained code recipes. Solve specific problems using individual recipes, or work through the book to develop your capabilities. If you are a big data enthusiast and striving to use Hadoop to solve your problems, this book is for you. Aimed at Java programmers with some knowledge of...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Perera, Srinath
Otros Autores: Gunarathne, Thilina
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Birmingham : Packt Pub., 2013.
Colección:Community experience distilled.
Temas:
Electronic data processing > Distributed processing.
File organization (Computer science)
Cloud computing.
Open source software.
Traitement réparti.
Fichiers (Informatique) > Organisation.
Infonuagique.
Logiciels libres.
COMPUTERS > Computer Literacy.
COMPUTERS > Computer Science.
COMPUTERS > Data Processing.
COMPUTERS > Hardware > General.
COMPUTERS > Information Technology.
COMPUTERS > Machine Theory.
COMPUTERS > Reference.
Cloud computing
Electronic data processing > Distributed processing
Open source software
Acceso en línea:Texto completo
Descripción
Sumario:Individual self-contained code recipes. Solve specific problems using individual recipes, or work through the book to develop your capabilities. If you are a big data enthusiast and striving to use Hadoop to solve your problems, this book is for you. Aimed at Java programmers with some knowledge of Hadoop MapReduce, this is also a comprehensive reference for developers and system admins who want to get up to speed using Hadoop.
Notas:Includes index.
Descripción Física:1 online resource (iv, 284 pages) : illustrations
ISBN:9781849517294
1849517290

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