Big Data Analytics with Spark A Practitioner’s Guide to Using Spark for Large-Scale Data Processing, Machine Learning, and Graph Analytics, and High-Velocity Data Stream Processing /

Big Data Analytics with Spark A Practitioner’s Guide to Using Spark for Large-Scale Data Processing, Machine Learning, and Graph Analytics, and High-Velocity Data Stream Processing /

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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Bibliographic Details
Main Author: Guller, Mohammed (Author)
Corporate Author: SpringerLink (Online service)
Format: Electronic eBook
Language:English
Published: Berkeley, CA : Apress : Imprint: Apress, 2015.
Subjects:
Computer science.
Application software.
Computer Science.
Computer Appl. in Administrative Data Processing.
Online Access:Full Text via HEAL-Link
Table of Contents:
  • 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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