Apache Spark 1.3.1

A cluster computing system for fast data analysis

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What's new in Apache Spark 1.3.0:

  • The core API now supports multi-level aggregation trees to help speed up expensive reduce operations.
  • Improved error reporting has been added for certain gotcha operations.
  • Spark‚Äôs Jetty dependency is now shaded to help avoid conflicts with user programs.
  • Spark now supports SSL encryption for some communication endpoints.
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LICENSE TYPE:

BSD License

USER RATING:
UNRATED
  0.0/5
DEVELOPED BY:
UC Berkeley AMP Lab
HOMEPAGE:
spark-project.org
LANGUAGE:
Java
CATEGORY:
C: \ Server Management
Spark was designed to improve processing speeds for data analysis and manipulation programs.

It was written in Java and Scala and provides features not found in other systems, mostly because they're not mainstream nor that useful for non-data processing applications.

Last updated on April 19th, 2015

Runs on: Windows / Linux / Mac OS / BSD / Solaris

feature list

#data processing #cluster computing #Scala framework #cluster #computing #analysis #in-memory

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