+91 8800580756, +91 7982391947
info@logicals.com
description
curriculum
reviews
About this course

Hadoop is an open-source framework that allows to store and process big data in a distributed environment across clusters of computers using simple programming models. It is designed to scale up from single servers to thousands of machines, each offering local computation and storage.

FAQs
Can I just enroll in a single course? I'm not interested in the entire course

Yes, One can enroll for one particular day as well based on their interested topics. Topics details are listed under syllabus tab.

What is the refund policy?

We will refund the entire cost if candidate is not happy with training.

What background knowledge is necessary

We do not presume any kind of prior knowledge before starting this course. Candidate can opt this course without any prior knowledge.

Do I need to take the courses in a specific order

No, You can take this course at any point of time without having any prior knowledge.

Syllabus

This course is organized in such a way as to serve as an in depth knowledge of Big Data and Hadoop. Each topics will be covered in details with examples.

Module 1
Total Session: 2
Introduction to Hadoop
  • What is Hadoop
    30 minutes
  • Lab: Setting up Cloud Environment
    30 minutes
  • Tests
    10 Questions
Module 2
Total Session:3
Hadoop Architecture and HDFS
  • Hadoop Architecture
    30 minutes
  • HDFS Command Line
    30 minutes
  • Lab: Hadoop Architecture
    30 minutes
  • Tests
    10 Questions
Module 3
Total Session: 2
Hadoop Administration
  • Hadoop Administration
    30 minutes
  • Lab: Hadoop Administration
    30 minutes
  • Tests
    10 Questions
Module 4
Total Session: 3
Hadoop Components
  • Introduction to MapReduce
    30 minutes
  • Introduction to Pig and Hive
    30 minutes
  • Introduction to Flume, Sqoop and Oozie
    30 minutes
  • Tests
    10 Questions
Module 5
Total Session: 3
MapReduce and YARN
  • Introduction to MapReduce and YARN
    • MapReduce Phases
      30 minutes
    • Wordcount Program Example
      15 minutes
    • Miscellaneous Details
      15 minutes
    • Lab Setup
      15 minutes
    • Hands-on Lab Exercise-1
      15 minutes
  • Limitations of Hadoop v1 and MapReduce v1
    • Issues and Limitations Overview
      30 minutes
    • YARN Features
      15 minutes
  • The Architecture of YARN
    • High Level Architecture
      30 minutes
    • Running an Application
      30 minutes
    • Hands-on Lab Exercise-2
      30 minutes
  • Tests
    10 Questions
Module 6
Total Session: 3
Accessing Hadoop Data Using Hive
  • Introduction to Hive
    • Introduction to Hive
      30 minutes
    • Lab Setup
      15 minutes
    • Lab: Exploring Hive
      15 minutes
  • Hive DDL
    • Introduction to Hive DDL
      30 minutes
    • Lab: Working with Hive DDL
      15 minutes
  • Hive DML
    • Introduction to Hive DML
      30 minutes
    • Lab: Working with Hive DML
      30 minutes
  • Tests
    10 Questions
Module 7
Total Session: 3
Flume and Sqoop
  • Load Scenarios
    • Load Scenarios
      30 minutes
    • Lab Setup
      15 minutes
  • Using Sqoop
    • Moving Data with Sqoop
      30 minutes
    • Lab: Moving Data with Sqoop
      15 minutes
  • Using Flume
    • Moving Data with Flume
      30 minutes
    • Lab: Moving Data with Flume
      30 minutes
  • Tests
    10 Questions