COEP FOSSMeet'18

Libre, not Gratis

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Hadoop and Big data

Submitted by Rushikesh Bhadane (@rushi1997) on Sunday, 25 February 2018

Technical level: Beginner

Abstract

Basically, big data is not a new concept to the industry. Most organizations now understand that if they capture all the data that streams into their businesses, they can apply analytics and get significant value from it.So my talk includes the introduction to big data. To process big data, apache hadoop is a reliable software framework which includes distributed file system to store data and mapreduce algorithm to process it. The talk also includes the the demo about how hadoop works.

Outline

  1. Intro of Big data
  2. Hadoop to solve chaos of big data
  3. Hadoop Ecosystem: Explained
  4. HDFS and Mapreduce Algorithms
  5. Hadoop demo
  6. Advantages and challenges of hadoop
  7. Hadoop resources worthy of a glance
  8. Reasons to adopt hadoop
  9. Alternatives of hadoop

Requirements

Projector

Speaker bio

Third year student of Computer Engineering at CoEP, attendee of Debian Packaging Workshop(Jan‘17), attendee of MiniDebConf Pune(‘16), FOSS supporter.

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