I. Introduction to Hadoop & Big Data
What is Big Data
What is Hadoop
Hadoop Architecture Concepts
Why Hadoop
Where is Hadoop used/use cases
How to setup Hadoop
Advantages/Disadvantages of Hadoop
2.Basics Hadoop Components
HDFS
Map Reduce
3. HDFS Architeture Concepts
HDFS and its components
What are HDFS Daemons
What is NameNode
NameNode features & functionality
What is DataNode
DataNode features & functionality
What is JobTracker
How JobTracker works
What is TaskTracker
How TaskTracker works
Reading files from HDFS
Writing files to HDFS
Rack Aware concepts.
4. "MapReduceArchiteture&DesignConcepts"
What is a Client
Lab: How it works
What is a Job
Lab: How it works
What is MapReduce
Lab: How it works
Simple MapReduce Algorithm Sample
Lab: How it works
Complex MapReduce Algorithm Sample
Lab: How it works
MapReduce using Eclipse Integration
Lab: How it works
Deploy MapReduce on Hadoop
Setup Hadoop
How to Debug MapReduce
What is Map Chaining
Lab: How it works
Testing Fundamentals
Input/OutputFormatters&RecordReaders
What is Job Scheduling
How to configure
Explore Apache MapReduceWebUI
MapReduce Combiners &Partitioners
Sorting & Searching in HDFS
MapReduceDistributedCache
What are Counters
Lab: How it works
5. Hadoop Administration Concepts
Lab: HDFS user commands
Lab: HDFS admin commands
Administrative procedures
Lab: Understanding dfsadmin&mradmin
Lab: Understanding Healthcheck&safemode
Lab: Configuring Schedulers
Lab: Configuring Queues
