Hadoop的生態系統

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

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