Hadoop Ecosystem

on YouTube ↗18m

" summary

Explains Hadoop as HDFS plus MapReduce and lists concrete ecosystem pieces: Hive turns SQL into MapReduce jobs, Pig compiles Pig Latin scripts to MapReduce, Sqoop moves relational data in and out of HDFS, Flume streams logs and Twitter into HDFS, Mahout provides MapReduce machine‑learning algorithms, HBase offers millisecond random‑access key/value storage, Oozie schedules workflows, Whirr boots clusters on clouds in minutes, and CDH bundles these tools as a downloadable VM distribution.

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" chapters (12)

1. 0:00Introduction to Hadoop
2. 1:31HDFS and distributed storage
3. 3:18MapReduce processing engine
4. 5:45Hive and SQL translation
5. 6:31Pig for scripting
6. 7:14Mahout for machine learning
7. 7:57Sqoop for data import
8. 9:46Flume for log collection
9. 10:51HBase for key-value storage
10. 11:56Oozie and Whirr tools
11. 13:21Cloudera distribution
12. 14:53Q&A on bottlenecks and CDH4

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