Course

CORE JAVA + HADOOP

Java Hadoop 6 weeks

Ducat Noida provides Best Java Hadoop 6 weeks of Training in Noida based on industry standards that help attendees to secure placements in their dream jobs at MNCs. Ducat Provides Best Java Hadoop 6 weeks Training in Noida. Ducat is one of the most credible Java Hadoop 6 weeks Training institutes in Noida offering hands-on practical knowledge and full job assistance with basic as well as advanced level Java Hadoop 6 weeks Training courses.

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 the 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