Hadoop - Advanced Training

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What is hadoop?

The underlying know-how was invented by Google back in their earlier days so they could usefully index all the rich textural & structural knowledge they were collecting, & then present significant & actionable results to users. There was nothing on the market that would let them do that, so they built their own platform. Google as innovations were incorporated in to Nutch, an open source project, & Hadoop was later spun-off from that. Yahoo has played a key role developing Hadoop for enterprise applications.

Hadoop Course curriculum

Introduction to Hadoop:

• RDBMS vs Hadoop

• Ecosystem tour (9 products)

• Vendor comparison (Cloudera, Hortonworks, MapR, Amazon EMR)

• Hardware Recommendations

HDFS: File System details

• NameNode and DataNode architecture

• Write pipeline

• Read pipeline

• Heartbeats

• Rack awareness

• Block scanner

MapReduce:

• JobTracker/TaskTracker architecture

• Shuffle: Sort + Partitioning

• Speculative Execution

• input/output formats

• distributed cache

Pig:

• Pig philosophy and architecture

• Grunt shell

• Loading data

• Exploring Pig

• Latin commands

Hive:

• Hive architecture

• Hive vs RDBMS

• HiveQL and the shell

• Managing tables (external vs managed)

• Data types and schemas

• Partitions and buckets

HBase:

• Architecture and schema design

• HBase vs. RDBMS

• HMaster and Region Servers

• Column Families and Regions

• Write pipeline

• Read pipeline

Next-Gen Hadoop:

• Intro to the high level concepts coming in Hadoop 2.0:

• HDFS HA

• HDFS Federation

• MapReduce 2.0

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