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Geek camp

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Slides of my talk 'Intro to Hadoop' @geekcamp.sg

Slides of my talk 'Intro to Hadoop' @geekcamp.sg

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Transcript

  • 1. Intro to Hadoop Jaideep Dhok
  • 2. Hi! ● I work at ● Involved with Hadoop for 2+ years
  • 3. Outline
  • 4. Brief History of Hadoop ● 2005 - ● Inspired by the GFS and MapReduce papers published by Google. ● Promoted heavily by Yahoo! Since 2006 ● Today, the defacto standard in 'Big Data' computing
  • 5. The Buzz
  • 6. Why? ● 'Big Data' ● How big? - petabyte scale ● Scalable ● Robust ● Secure!
  • 7. Scalability
  • 8. When To Use It ● Can you use Hadoop to do X? ● Is your problem 'embarassingly' parallel? ● Workflow? – Dependent/Independent Tasks ● Data/CPU intensive? ● Can you use Hadoop to do X in the Clouds? ● Depends where your data is
  • 9. Why To Use It? ● Ad hoc analysis ● Semi/structured data – Log files – Text – CSV, XML, anything really – RDBMS – NoSQL!
  • 10. Use Cases ● Analytics ● User behavior ● Reporting ● Filtering ● Machine Learning ● Just storing your data
  • 11. Just From The Logs ● Suppose you run a web-site ● User breakdown by browsers ● Location ● Understanding user session – How long do they use it? – Who are the active users? – What part of my app they use the most? – What part of my app is user X's fav?
  • 12. Tools ● Native Hadoop APIs – Java ● Streaming – Perl, Python, Ruby, any language as long it has support for 'stdin' and 'stdout' ● Pig ● HIVE ● Pipes – C and C++
  • 13. Ecosystem
  • 14. Don't Wait ● Hadoop ● hadoop.apache.org ● Cloudera tutorials on Hadoop ● Books
  • 15. Questions?
  • 16. Thank You! jaideep.dhok@gmail.com

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