Learn Java & Hadoop From Experts

Inductive Analytics is also providing the trainning on Java and Hadoop by industry experts. We are offering the complete package or individual package on both the technologies. Take a look at our services:

  • More focus on practical implementation.
  • 24x7 help on any topics.
  • Industrial Trainning Certification.
  • Real time project development.
  • Completion of courses with in deadline and full commitment.

Courses Offered

  • Introduction to Hadoop & Big Data
    • Introduction to Hadoop & Big Data
    • Hadoop Ecosystem - Concepts
    • Hadoop Map Reduce Concepts and Features
    • Developing the Map Reduce Applications
    • PIG Concepts
    • HIVE Concepts
    • Sqoop Concepts
    • Flume concepts
    • Real Life Use Cases
    • How Hadoop can solve problem associated with traditional large scale system
    • Other Open Source Software related to Hadoop
    • How to create your own Hadoop Cluster
  • Hadoop Architecture
    • Understand the main Hadoop Components
    • Setup Hadoop
    • Pseudo Mode
    • Cluster Mode
    • Ipv6
    • Installation of Java , Hadoop
    • Configuration of Hadoop
    • Hadoop Processes
    • Name Node , Secondry Name Node
    • Job Tracker , Task Tracker
    • Data Node
    • HDFS - Hadoop Distributed File System
    • Learn How HDFS Works
    • HDFS Design and Architecture
    • HDFS Concepts
    • Interacting HDFS using command Line
    • Interacting HDFS using Java APIs
    • Dataflow
    • Blocks
    • Replica
    • List Data Access patterns for which HDFS is Designed
    • Learn how data is stored in HDFC Cluster
    • Learn HDFC Commands LINUX Basics , Installation and Commands
  • Introduction to MapReduce
    • Understands the concepts of map and reduce operations
    • Developing Map reduce Applications
    • Describes how Hadoop execute a MapReduce Job
    • Phases in Map reduce Framework
    • Map reduce Input and Output Formats
    • Sample Application
    • Writing a Map reduce programe
    • The Map reduce Flow
    • Examining a sample Map reduce programe
    • Basic Map reduce API concepts
    • The Mapper
    • The Reducer
    • Hadoop Streaming API
    • Using Eclipse for rapid development
    • List MapReduce Fundamental Data Types
    • Explain a MapReduce Data flow
    • List MapReduce fault tolerance and scheduling features
  • Querying Data
    • An overview of Pig, Hive
    • Working with Pig
    • Working with Hive
    • Working with Pig , Hive Transcript
    • Querying Data with Pig , Hive
  • HIVE
    • Introduction to Hive
    • Installation and Configuration
    • Interacting HDFS using Hive
    • Map Reduce Programs through Hive
    • Hive Commands
    • Loading , Filtering , Grouping
    • Data Types , Operators
    • Joins , Groups
    • Sample Program in Hive
    • Hive Query Language
    • Alter and Delete in Hive
    • Partition in Hive
    • Indexing
    • Joins in Hive , Unions in Hive
    • Statistics with Hive
    • Archiving in Hive
  • PIG
    • Introduction to PIG
    • Installation and Configuration
    • Commands
    • Data Loading in PIG
    • Data Extraction in PIG
    • Data Transformation in PIG
  • Shifting Data into Hadoop
    • Understand how to transfer data into Hadoop using Sqoop, Flume
    • Introduction to Sqoop, Flume
    • Introduction to Sqoop, Flume Transcript
    • Working with Sqoop, Flume
    • Sqoop, Flume mode of operation and configuration
  • Working with Sqoop
    • Introduction to Sqoop
    • Import Data
    • Export Data
    • Sqoop Syntax
    • Databases connection
  • Working with Flume
    • Introduction to Flume
    • Configuration and Setup
    • Introduction to Flume Transcript
    • Flume sink with example
    • Channel
    • Flume source with example
    • Working with Flume
    • Flume mode of operation and configuration

  • Java Basics
    • Java Overview
    • Java enviornment Setup
    • Basic Syntax
    • Object & Classes
    • Basic Datatypes
    • Variable Data types
    • Modifiers
    • Basic Operators
    • Loop Control
    • Methods
    • File & I/O
    • Java Exceptions
  • Java Object Oriented
    • Inheritance
    • Overriding
    • Polymorphism
    • Abstraction
    • Encapsulation
    • Interfaces
    • Packages
  • Java Advanced
    • Collections
    • Generics
    • Serialization
    • Networking
    • Multithreading
    • Email APis
    • Applets
    • Java Doc
  • Java Web
    • Servlets/JSP
    • JEE Framework
    • JDBC Framework
    • Enterprize Java Beans
    • Java RMI
  • Java Database Connectivity
    • Advanced JDBC
    • MySQL Database
    • Oracle Database
    • SQL writing
  • Logging
    • by log4j
    • by slf4j
  • Eclipse and Netbeans Trainning
  • Other Frameworks (On Demand)
    • Struts 2.0
    • Hibernate
  • One Live Project
    • Retail Marking Web Application
    • E-commerce Web application
    • RealEstate Web project
    • Social Media web project
    • Online Gaming web Applications etc.

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