Sanjay Sharma’s Weblog

August 16, 2010

Hadoop Ecosystem World-Map

While preparing for the keynote for the  recently held HUG India meetup on 31st July, I decided that I will try to keep my session short, but useful and relevant to the lined up sesssions on hiho, JAQL and Visual hive. I have always been a keen student of geography (still take pride in it!) and thought it would be great to draw a visual geographical map of Hadoop ecosystem. Here is what I came up with a little nice story behind it-

  1. How did it all start- huge data on the web!
  2. Nutch built to crawl this web data
  3. Huge data had to saved- HDFS was born!
  4. How to use this data?
  5. Map reduce framework built for coding and running analytics – java, any language-streaming/pipes
  6. How to get in unstructured data – Web logs, Click streams, Apache logs, Server logs  – fuse,webdav, chukwa, flume, Scribe
  7. Hiho and sqoop for loading data into HDFS – RDBMS can join the Hadoop band wagon!
  8. High level interfaces required over low level map reduce programming– Pig, Hive, Jaql
  9. BI tools with advanced UI reporting- drilldown etc- Intellicus 
  10. Workflow tools over Map-Reduce processes and High level languages
  11. Monitor and manage hadoop, run jobs/hive, view HDFS – high level view- Hue, karmasphere, eclipse plugin, cacti, ganglia
  12. Support frameworks- Avro (Serialization), Zookeeper (Coordination)
  13. More High level interfaces/uses- Mahout, Elastic map Reduce
  14. OLTP- also possible – Hbase

Would love to hear feedback about this and how to grow it further to add the missing parts!

Hadoop ecosystem map

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