Big data processing with Apache Spark: efficiently tackle large datasets and big data analysis with Spark and Python

Processing big data in real-time is challenging due to scalability, information consistency, and fault tolerance. This book shows you how you can use Spark to make your overall analysis workflow faster and more efficient. You'll learn all about the core concepts and tools within the Spark ecosy...

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Detalles Bibliográficos
Autor principal: Franco Galeano, Manuel Ignacio
Lenguaje:eng
Publicado: Packt Publishing 2018
Materias:
Computing and Computers
Acceso en línea:http://cds.cern.ch/record/2653948
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author Franco Galeano, Manuel Ignacio
author_facet Franco Galeano, Manuel Ignacio
author_sort Franco Galeano, Manuel Ignacio
collection CERN
description Processing big data in real-time is challenging due to scalability, information consistency, and fault tolerance. This book shows you how you can use Spark to make your overall analysis workflow faster and more efficient. You'll learn all about the core concepts and tools within the Spark ecosystem, like Spark Streaming, the Spark Streaming ...
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institution Organización Europea para la Investigación Nuclear
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publishDate 2018
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spelling cern-26539482021-04-21T18:37:05Zhttp://cds.cern.ch/record/2653948engFranco Galeano, Manuel IgnacioBig data processing with Apache Spark: efficiently tackle large datasets and big data analysis with Spark and PythonComputing and ComputersProcessing big data in real-time is challenging due to scalability, information consistency, and fault tolerance. This book shows you how you can use Spark to make your overall analysis workflow faster and more efficient. You'll learn all about the core concepts and tools within the Spark ecosystem, like Spark Streaming, the Spark Streaming ...Packt Publishingoai:cds.cern.ch:26539482018
spellingShingle Computing and Computers
Franco Galeano, Manuel Ignacio
Big data processing with Apache Spark: efficiently tackle large datasets and big data analysis with Spark and Python
title Big data processing with Apache Spark: efficiently tackle large datasets and big data analysis with Spark and Python
title_full Big data processing with Apache Spark: efficiently tackle large datasets and big data analysis with Spark and Python
title_fullStr Big data processing with Apache Spark: efficiently tackle large datasets and big data analysis with Spark and Python
title_full_unstemmed Big data processing with Apache Spark: efficiently tackle large datasets and big data analysis with Spark and Python
title_short Big data processing with Apache Spark: efficiently tackle large datasets and big data analysis with Spark and Python
title_sort big data processing with apache spark: efficiently tackle large datasets and big data analysis with spark and python
topic Computing and Computers
url http://cds.cern.ch/record/2653948
work_keys_str_mv AT francogaleanomanuelignacio bigdataprocessingwithapachesparkefficientlytacklelargedatasetsandbigdataanalysiswithsparkandpython

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