Hadoop的生态系统

  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

出处：http://indoos.wordpress.com/2010/08/16/hadoop-ecosystem-world-map/

posted on 2011-03-30 02:06  爱你一万年123  阅读(81)  评论(0)  编辑  收藏  举报

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