Introduction to Hadoop

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" summary

History and claim: Hadoop grows out of Nutch and Google papers and becomes a working platform that moves from 20 to 40 machines to thousands at Yahoo, handling whole‑web workloads. Key components are HDFS + MapReduce for batch, with HBase for low‑latency gets/puts and Pig/Hive/Impala for higher‑level queries. Demonstrations include bulk loads, reliable operation across failing nodes, linear scale, and real deployments (search logs, Facebook messaging, retail/credit‑card analyses) that actually run and produce results.

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" chapters (5)

1. 0:00Start
2. 5:38Hdfs
3. 8:48Batch Engine Mapreduce
4. 9:36Hbase
5. 15:15Dremel

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