Module 1 Introduction to Big data & Hadoop
  • 1.1 What is Big data
  • 1.2 Facts about Big Data
  • 1.3 Big Data Scenarios
  • 1.4 Apache Hadoop framework
  • 1.5 Hadoop Users
  • 1.6 Hadoop History
  • 1.7 Difference between RDBMS and Hadoop
  • 1.8 Cluster Modes in Hadoop
  • 1.9 Hadoop Ecosystem
  • 1.10 HDFS Daemons and Mapreduce daemons
  • 1.11 Hadoop Cluster Architecture
  • 1.12 Learning Hadoop
  • 1.13 Hadoop Distributions and Compatibilities
  • 1.14 Hadoop Ecosystem in detail
Module 2 Introduction to HDFS (Hadoop Distributed File System)
  • 2.1 Hadoop Distributed File System
  • 2.2 HDFS Files and Blocks
  • 2.3 HDFS Components and Architecture
  • 2.4 HDFS File Read-Write
  • 2.5 Installation of Apache Hadoop
Module 3 Basics of Mapreduce Model
  • 3.1 Mapreduce
  • 3.2 Map-Reduce Operation
  • 3.3 Map-reduce Example
  • 3.4 HDFS Input Splits
  • 3.5 Mapreduce Architecture
  • 3.6 Combiners
  • 3.7 Partitioner
  • 3.8 Shuffling and Sorting in Hadoop
Module 4 Hadoop Installation & Practical
  • 4.1 cdh 5.2 Installation
  • 4.2 HDFS Commands part-1
  • 4.3 HDFS Commands part-2
  • 4.4 HDFS Commands part-3