Big Data Analytics with Spark A Practitioner's Guide to Using Spark for Large Scale Data Analysis /

Big Data Analytics with Spark is a step-by-step guide for learning Spark, which is an open-source fast and general-purpose cluster computing framework for large-scale data analysis. You will learn how to use Spark for different types of big data analytics projects, including batch, interactive, grap...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Guller, Mohammed (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Berkeley, CA : Apress : Imprint: Apress, 2015.
Edición:1st ed. 2015.
Temas:
Big data.
Information technology-Management.
Big Data.
Computer Application in Administrative Data Processing.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • Chapter 1: Big Data Technology Landscape
  • Chapter 2: Programming in Scala
  • Chapter 3: Spark Core
  • Chapter 4: Interactive Data Analysis with Spark Shell
  • Chapter 5: Writing a Spark Application
  • Chapter 6: Spark Streaming
  • Chapter 7: Spark SQL
  • Chapter 8: Machine Learning with Spark
  • Chapter 9: Graph Processing with Spark
  • Chapter 10: Cluster Managers
  • Chapter 11: Monitoring.

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