Hadoop is for the most part for taking care of large information. Enormous information is unstructured information like log records, sounds, recordings, pictures, messages, books, archives, etc. In reality there are parcel of sources which are creating enormous information ordinary. The vast majority of the tasks from regarded customers require enormous information taking care of.
Length : 60 Hours
Introduction to HADOOP
What is Big Data?
What is Hadoop?
Challenges With Big Data
Comparison With Other Technologies
Components of Hadoop Echo System
HDFS
Significance of HDFS in Hadoop
Features of HDFS
Storage aspects of HDFS
HDFS Architecture
Accessing HDFS
MapReduce
Why MapReduce is essential in Hadoop
Processing Daemons of Hadoop
Input Split
Life Cycle
Data Types
Driver Code
Mapper Code
Reducer Code
Input Format in MapReduce
Output Format in MapReduce
MapReduce API
Combiner
Partitioner