Apache Hadoop Online for Intermediate trainees by MM TECHNOWORLD

Hadoop Course Outline

What is Big Data & Why Hadoop?
Big Data Characteristics, Challenges with traditional system

Hadoop Overview & its Ecosystem
Installing and Configuring Hadoop
Setting up hadoop lab on VM Workstation
HDFS Architecture, Name Nodes, Data Nodes and Secondary Name Node
Understanding HDFS HA and Federation architecture
YARN Architecture, Resource Manager, Node Manager and Application Master
Demo Session

Map Reduce Anatomy
How Map Reduce Works?
Writing Mapper, Reducer and Driver using Java APIs
Understanding Hadoop Data Type, Input& Output Formats
Demo Session
Combiner, Partitioner, Counter, Setup and cleanup, Distributed Cache
Passing parameters, Multiple Inputs, Chaining multiple jobs
Handling small files and bad records
Demo Session

Sqoop
Importing and exporting data using sqoop (One DB to Hive)
Extracting and loading the data from social media network using Flume
Demo Session

Hive
Hive Architecture
Installing and configuration of Hive.
Loading data into hive tables from external source.
Demo Session

Pig
Pig Basics, Loading data files
Demo Session

Hadoop Best Practices, Advanced Tips & Techniques
Managing HDFS and YARN
Hadoop Cluster sizing, capacity planning and optimization
Hadoop Deployment options