Bigdata Online for graduates by Center for Advanced Skills and Technologies

Introduction to Big Data and Analytics
Introduction to Hadoop
Hadoop ecosystem - Concepts
Hadoop Map-reduce concepts and features
Developing the map-reduce Applications
Pig concepts
Hive concepts
Sqoop concepts
Flume Concepts
Oozie workflow concepts
Impala Concepts
Hue Concepts
HBASE Concepts
ZooKeeper Concepts
Real Life Use Cases

Hadoop

Why Hadoop?
Scaling
Distributed Framework
Hadoop v/s RDBMS
Brief history of hadoop

Setup hadoop

Pseudo mode
Cluster mode
Ipv6
Ssh
Installation of java, hadoop
Configurations of hadoop
Hadoop Processes ( NN, SNN, JT, DN, TT)
Temporary directory
UI
Common errors when running hadoop cluster, solutions

HDFS- Hadoop distributed File System

HDFS Design and Architecture
HDFS Concepts
Interacting HDFS using command line
Interacting HDFS using Java APIs
Dataflow
Blocks
Replica

Hadoop Processes

Name node
Secondary name node
Job tracker
Task tracker
Data node

Map Reduce

Developing Map Reduce Application
Phases in Map Reduce Framework
Map Reduce Input and Output Formats
Advanced Concepts
Sample Applications
Combiner

Joining datasets in Mapreduce jobs

Map-side join
Reduce-Side join

Map reduce customization

Custom Input format class
Hash Partitioner
Custom Partitioner
Sorting techniques
Custom Output format class

Hadoop Programming Languages :-

HIVE

Introduction
Installation and Configuration
Interacting HDFS using HIVE
Map Reduce Programs through HIVE
HIVE Commands
Loading, Filtering, Grouping.
Data types, Operators..
Joins, Groups.
Sample programs in HIVE

PIG

Basics
Installation and Configurations
Commands.

OVERVIEW HADOOP DEVELOPER

Introduction

The Motivation for Hadoop

Problems with traditional large-scale systems
Requirements for a new approach