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...

Full description

Bibliographic Details
Main Author: Guller, Mohammed. author (author)
Format: eBook
Language:Inglés
Published: Berkeley, CA : Apress 2015.
Edition:1st ed. 2015.
Series:The Expert's Voice in Spark
Subjects:
SPARK (Electronic resource)
Big data.
Application software.
Big Data.
Computer Appl. in Administrative Data Processing.
See on Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009629884106719
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.

Similar Items