Java Hadoop 6 weeks

INTRODUCTION TO JAVA

• Understanding Requirement: Why Java
• Why Java is important to the Internet
• JAVA on LINUX Platform

JAVA CLASSES AND OOP IMPLEMENTATION

• Class Fundamentals
• Command Line Arguments
• Learning static initializer
• Declaration on of Objects
• Instance Variable Hiding
• Overloading and Overriding of Methods
• Understanding of Access Controls:
• Private, Public and Protected
• Learning Nested and Inner Classes
• Dynamic method Dispatching
• Using Abstract Classes
• Using final to prevent Overriding & Inheritance
• Garbage Collection

PACKAGES AND INTERFACES

• Defining a Package
• Understanding CLASSPATH
• Access Protection
• Importing Packages
• Defining and implementing an Interface
• Abstract classes Vs Interfaces
• Genrics
• Annotations

EXCEPTION HANDLING

• Fundamentals of exception on handling
• Types of exceptions
• Learning exception handlers
• Try and catch
• Multiple catch clauses
• Nested try statements
• Throw, throws and finally

COLLECTION API

• Collection Overview
• The Collection Interfaces (List, Set, SortedSet)
• The Collection Classes (ArrayList, LinkedList, HashSet, TreeSet)
• Accessing a Collection via an Iterator
• Working with Maps

JDBC

• Introduction to JDBC
• JDBC Drivers
• Statements
• Metadata
• Scrollable & Updatable ResultSet
• Batch Updates

Hadoop

Understanding Big Data & Hadoop

• Analyze Limitation & Solutions of Existing Data Analytics Architecture.
• What is Hadoop 2.x and its features.
• What is Hadoop YARN.
• Understanding Rack Awareness and Load Balancing Concepts.

Hadoop Architecture and HDFS

• What is Master & Slave Architecture of Hadoop.
• Distributed Computing and Parallel Processing.
• Replication Factors and Heart Beat in Architecture.
• Implement Basic Hadoop Commands on Terminal.

Hadoop MapReduce Framework

• Analyze Different use cases Where MapReduce is Used.
• Differentiate Between Traditional way and MapReduce way.
• Map Phase and Reduce Phase.
• Understand execution Flow of YARN MapReduce Application.
• Run A MapReduce Program(Word-Count)

Introduction To Hadoop Eco-System

• Hive
• Sqoop

MINI PROJECT

• Covering All The Concepts