Syllabus

1) Introduction to Bigdata
2) Features and challenges, sources of Bigdata
3) 3 V's of Bigdata and types of Data
4) HDFS
5) Understanding Block and Configuration
6) Block replication
7) Read and Write HDFS & Hadoop Components
8) Modes of Hadoop and installation of Hadoop cluster
9) Introduction and architecture of Map Reduce
10) The concept of Mapper and Reducer
11) Driver mapper and reducer class
12) Input split and record reader
13) Combiner and Partitioner, PIG, HIVE, HBASE, FLUME, SQOOP, SPARK