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

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
Autor principal: Guller, Mohammed. author (author)
Formato: Libro electrónico
Idioma:Inglés
Publicado: Berkeley, CA : Apress 2015.
Edición:1st ed. 2015.
Colección:The Expert's Voice in Spark
Materias:
SPARK (Electronic resource)
Big data.
Application software.
Big Data.
Computer Appl. in Administrative Data Processing.
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009629884106719
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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