Java Parallel Computation on Hadoop | Highest Rated | 100% Off

Free Certification Course Title: Java Parallel Computation on Hadoop

Learn to write real, working data-driven Java programs that can run in parallel on multiple machines by using Hadoop.

Java Parallel Computation on Hadoop
Java Parallel Computation on Hadoop
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Description:
Build your essential knowledge with this hands-on, introductory course on the Java parallel computation using the popular Hadoop framework:
  • Getting Started with Hadoop
  • HDFS working mechanism
  • MapReduce working mechanism
  • Anatomy of the Hadoop cluster
  • Hadoop VM in pseudo-distributed mode
  • Hadoop VM in distributed mode
  • Elaborated examples in using MapReduce

Requirements:

  • An understanding of the Java programming language.
What you’ll learn:
  • Know the essential concepts about Hadoop.
  • Know how to setup a Hadoop cluster in pseudo-distributed mode.
  • How to set up a Hadoop cluster in distributed mode (3 physical nodes).
  • Know how to develop Java programs to parallelize computations on Hadoop.
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Course Content:

UDEMYJAVAHADOOP

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This course is designed to build your knowledge and use of the Hadoop framework through modules covering the following:
  • How HDFS works
  • How MapReduce works
  • Core projects under Hadoop – HDFS and MapReduce
  • How a cluster works
  • How to leverage the VM for Hadoop learning and testing
  • Problems solved by Hadoop
  • How the data sorting works
  • How the pattern searching
  • Limitations of parallel computation before Hadoop
  • How the word co-occurrence
  • How the inverted index works
  • Background about parallel computation
  • How the starter program works
  • How the data aggregation works
  • All the examples are blended with full source code and elaborations
Who this course is for:
  • IT Practitioners.
  • Software Developers.
  • Software Architects.
  • Programmers.
  • Data Analysts.
  • Data Scientists.
This course includes:
  • 3 hours of on-demand video.
  • 10 articles.
  • 13 downloadable resources.
  • Full lifetime access.
  • Access on mobile and TV.
  • Certificate of Completion.

Created by Ivan Ng, Frahaan Hussain

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