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Introduction to Hadoop
Job Tracker
Secondary name node
Slave Daemons
Job tracker
Task tracker
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HDFS (Hadoop Distributed File System)
Programming Practices
Developing MapReduce Programs in
Running without HDFS and MapReduce
Running all daemons in a single node
Running daemons on dedicated nodes
Local Mode
Pseudo-distributed Mode
Fully distributed mode
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Setup Hadoop cluster of Apache, Cloudera and Horton Works
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Writing a MapReduce Program
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Processing XML files
Counters
Directly Accessing HDFS
Tool Runner
Using The Distributed Cache
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Creating an Inverted Index
Identity Mapper
Identity Reducer
MapReduce applications
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Advanced MapReduce Programming
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Tuning for Performance in MapReduce
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Create database
Develop and run sample applications
Access data stored in HBase using clients like Java, Python and Pearl
HBase and Hive Integration
HBase admin tasks
Defining Schema and basic operation
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Running in Grunt shell
Programming in Eclipse
Running as Java program
PIG UDFs
Pig Macros
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