Hadoop on 4th Feb (Wednesday) 7:30AM-8:30AM at Madhapur by Mr. Rama Krishna

Syllabus:
• BigData

• What is BigData
  
• Characterstics of BigData
  
• Problems with BigData
  
• Handling BigData

• Distributed Systems

• Introduction to Distributed Systems
  
• Problems with Existing Distributed Systems to deal BigData
  
• Requirements of NewApprocach
  
• HADOOP history

• HADOOP Core Concepts

• HDFS
  
• MapReduce

• HADOOP Cluster

• Install Pseudo cluster
  
• Install Multi node cluster
  
• Configuration Introduction to HADOOP Cluster
  
• The Five Deamons working
  • NameNode
  • JobTracker
  • SecondaryNameNode
  • TaskTracker
  • DataNode

• Introduction to HADOOP EcoSystem projects

• Writing MapReduce programs

• Understanding HADOOP API
  
• Basic programs of HADOOP MapReduce ApplicationForm
  - Driver Code
  - Mapper Code
  - Reducer Code
  
• Eclipse intigration with HADOOP for Rapid Application Development

• Understanding ToolRunner

• More about ToolRunner
  
• Combiner
  
• Reducer
  
• configure and close methods

• Common MapReduce Algorithems

• Sorting
  
• Searching

• Indexing
  
• TF-IDF

• Word_CoOccurance

• HADOOP EcoSystem

• Flume
  
• Sqoop
  
• Importing data from RDBMS using sqoop
  
• Hive

• Introduction to hive

• Creating tables in hive
  
• Running queries
  
• Pig
  
• Introduction to pig

• Different modes of pig

• when to use hive and when to use pig
  
• HBASE
  
• Basics of HBASE

• Advanced MapReduce Programming

• Developing custom Writable
  
• Developing custom WritableComparable
  
• Understanding Input Output formats

• Introduction to Ooziee
• Hands ons Exercise for each concept