A PHP Error was encountered

Severity: Warning

Message: session_start(): open(/tmp/sess_of5f5oikvf40ftl5u71iekoan0, O_RDWR) failed: Disk quota exceeded (122)

Filename: models/home_model.php

Line Number: 3

Big Data Hadoop Online Certification courses | Online Hadoop Course in India

Get Free Counselling

Get Free Counselling


Wiley's Working With Hadoop (WWWH)

Work with Hadoop and its Component Tools with

  • Understanding of the role of Hadoop in analysing and processing Big Data
  • Detailed Understanding of the Hadoop ecosystem and its component tools
  • Deep familiarity with the Hadoop data storage model
  • MapReduce, Hive and Pig programming skills
  • Real time applications and security concerns of Hadoop, and application of Hadoop on cloud

Read more

Key Features of the Course

  • Gives hands on experience of installing and working with Hadoop
  • Enables participants to develop MapReduce and Pig programs
  • Discusses how to work with key Hadoop ecosystem components such as Oozie, Flume, Zookeeper , and Storm
  • Lab exercises enable you to practise the skills learnt

Objective of the Course

Wiley's Working with Hadoop program aims to develop skilled Hadoop specialists who are competent to design and manage Big Data using Hadoop ecosystem by

  • Providing experience of working with Hadoop and its ecosystem
  • Enabling participants to develop MapReduce and Pig programs
  • Enabling working on an industry-relevant project and labs

Read more

  • Providing knowhow of technology, storage, processing, management and security infrastructure for Big Data on Hadoop

Candidates Eligible for Attending the Course

  • Engineering or MCA students
  • Graduates with programming background
  • Software developers and professionals willing to foray into Big Data technology

Module Details

  • Module Duration: Approx 10 hours of learning and lab work
    • Module 3: Increasing Efficiency with Hadoop Tools: Hive & Pig
    • Module 4: Additional Hadoop Tools: Oozie, Zookeeper, Sqoop, Flume, Yarn and Storm
    • Module 5: Hadoop: Real time, Security and Cloud

    Read more

    • Module 1: Hadoop & MapReduce Fundamentals
    • Module 2: Storing and Processing Data: HDFS & MapReduce

Modules can be Customized and Integrated with

  • Corporate Training programs
  • Engineering Curriculum

Course Resources

  • Videos
  • Lab Environment
  • Assessments
  • Project Work

Pre-Requisites for Attending the Course

  • Basics of Linux/Unix operating systems
  • Good understanding of Java programing language
    • Core Java
  • Understanding of basic SQL statements

Read more

  • Basics of programming language
    • Concepts of OOP
    • Basics of scripting language, familiarity with PERL or RUBY would be an added advantage