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Hadoop: Map Reduce

About this Free Course

MapReduce and its variants have applied large-scale data-intensive functions on commodity clusters efficiently. Though, nearly all of these techniques are constructed round an acyclic knowledge circulation mannequin, which is unsuitable for a number of different fashionable functions. A number of iterative machine studying algorithms have been included in these functions, together with interactive knowledge evaluation instruments. This MapReduce tutorial provides you with an outline of the MapReduce programming mannequin utilizing easy phrase counting examples. The tutorial first begins by introducing MapReduce and its method by demonstrating it. Later, you’ll be taught Hadoop and YARN structure, HDFS superior ideas, and configuration recordsdata in HDFS.

A number of among the many top-rated universities in India, like PES College and SRM Institute of Science and Expertise, have joined with Nice Studying to design the perfect Grasp’s Diploma Packages in Knowledge Science. You’ll be able to register in India’s finest knowledge science programs and safe a Grasp’s Diploma Certificates from these well-established universities after finishing the highest Knowledge Science course. Our college and mentors group consists of extremely skilled {industry} professionals on this area to supply learners with world-class Knowledge Science coaching utilizing industry-relevant instruments and methods in order that the learners can turn out to be profitable of their careers.


  • Map cut back
  • Hadoop and YARN structure

Course Syllabus

Hadoop: Map Reduce

  • Introduction to map-reduce
  • Map-reduce method with demonstration
  • HDFS in Hadoop 1.x vs in Hadoop 2.x YARN
  • HDFS Superior Ideas
  • HDFS Configuration Recordsdata

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