Live Project Based Big Data Hadoop training in Delhi

Live Project Based Big Data Hadoop training in Delhi4.8 out of 5 based on 7889 ratings.

KVCH is the pioneer of education and also the best Big Data Hadoop training institute in Delhi, . We provide our candidates with latest curriculum on the technology that helps them to secure best jobs in the industry. The training program is designed for both students and working professionals who are looking for a career in this field .

The Big Data Hadoop training in Delhi, , comprises of both practical and theoretical sessions but students are encouraged to focus and grab the the technology conceptually.

With experience of more than 25 years , we have delivered thousands of well qualified students to the IT industry . we conduct various campus drives for all the KVCH students . Our specialized placement cell provide assistance and guidance to the aspirants looking for jobs.

At KVCH , we have well qualified experienced trainers who have years of experience in dealing with the LIVE Projects . students are introduced to both basic and professional level projects based where they learn various aspect of Hadoop like its concepts and fundamentals , Hadoop blocks and architecture , Hbase architecture etc.

We help aspirants to gain required skills and knowledge and aid them with the best placement programs.

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Course Description

      INTRODUCTION OF BIG DATA

    • Basics of Big data
    • Big Data Generation
    • Big Data Introduction
    • Big Data Architecture
    • Understand Big data Problem
    • Big data Management Approch
    • treditional and Current Data storing approch
    • Understand various data formats and data units
    • Big data With Industry Requirments
    • Big Data Chalanges

      • HADOOP ENVIRONMENT

    • Understand Hadoop Enviorment
    • requirment of hadoop
    • Importance of Data Analytics
    • Setting up hadoop Enviorment
    • Hadoop advantages over RDMS

      • HADOOP CLUSTER & FILE SYSTEM

    • Explaining Various file systems
    • Hdfs GFS, POSIX, GPFS
    • explain clustring methetology
    • Master Nodes and slave nodes

      • HADOOP FILE SYSTEM(HDFS) & HADOOP ARCHITECTURE

    • Working on hdfs File System
    • Creating lib and accessing lib from HDFS
    • hadoop commands make dir,delete dir etc
    • working with web console

      • HADOOP MAPREDUCE

    • Introduction of Map Reduce
    • mapreduce programming and word count
    • mapreduce nodes job tracker and task tracker
    • running Mapreduce program through web console

      • HADOOP JAQL

    • Introduction of JAQL Approch
    • Understand information stream
    • Understand Information ocean
    • Working with JAQL Language

      • HADOOP HIVE

    • Understand Data Ware Housing
    • Requirement of Data Ware housing
    • Data Ware housing with Hive
    • Understand Hive environment
    • working with Hive Query Language
    • Perform DDL approach Through Hive
    • Perform DML approach through Hive

      • HADOOP PIG

    • Introduction of PIG
    • Requirement of Pig
    • Working with pig Script
    • Running and managing Pig Script
    • Perform Streaming Data Analytics through PIG
    • Pig Advantages and Disadvantages

      • HADOOP FLUME & SQOOP

    • Understand Flume methodology
    • Requirement of flume
    • flume advantages
    • working lab with flume
    • introduction of Sqoop
    • Requirement of sqoop
    • advantages of sqoop

      • HADOOP BIG R & OZIE

    • Introduction of BIG R
    • Advantages of BIG R
    • Working Lifecycle of ozie
    • understand ozie data flow
    • ozie setup and requirement
    • understand ozie scheduling