Facebook Pixel

Big Data and Hadoop

Course type:
E-learning
Duration:

3 hours

Delivery:
Online
From just {% configuredPrice() | ilxCurrency:currentCurrency %}
Without exams

Introduction to Big Data and Hadoop E-learning

Big data analytics is widely used to analyse large volumes of data and there is a growing need for professionals equipped with the knowledge of big data and Hadoop. Top companies like IBM, Dell, Microsoft and HP have invested $15 billion on data management and analytics, therefore increasing the number of career opportunities for big data and Hadoop certified professionals. 

The ‘Introduction to Big Data and Hadoop’ is an ideal course for individuals who want to understand the basic concepts of big data and Hadoop. 

Course overview

About the course

The course focuses on the basics of big data and Hadoop and provides an overview of the commercial distributions of Hadoop as well as the components of the Hadoop ecosystem. 

On completing this course, learners will be able to interpret what goes behind the processing of huge volumes of data as the industry switches over from excel-based analytics to real-time analytics.

The following examples show why it's useful to have knowledge of big data and Hadoop:

  • Facebook, a $5.1 billion company, has over 1 billion active users and they use Hadoop manage data of such magnitude. 
  • LinkedIn manages over 1 billion personalised recommendations every week with the help of Hadoop’s MapReduce and HDFS features.

What's covered?

  • Lesson 1- Introduction to big data and Hadoop 
  • Lesson 2 - Hive HBase and Hadoop ecosystem components 
  • Lesson 3 - Quiz

Duration

3 hours

Target audience

This course is meant for people who intend to gain a basic understanding of big data and Hadoop. It is suitable for professionals in senior management who require a theoretical understanding of how Hadoop can solve their big data problems.

Pre-requisites

There are no prerequisites for this course.

Learning objectives

By the end of the course you will be able to:

  • Understand the characteristics of Big Data
  • Describe the basics of Hadoop and HDFS architecture
  • List the features and processes of MapReduce
  • Understand the basics of Pig, Hive and HBase
  • Explore the commercial distributions of Hadoop
  • Understand the key components of the Hadoop ecosystem
  • Explain Sqoop and ZooKeeper

What's included?

Introduction to Big Data and Hadoop is offered by Simplilearn, a partner of ILX Group.

Materials

10 quizzes and 2 simulation exams

Duration of access

12 months' online access to accredited e-learning

Exam information

There is no exam available, but you must complete 85% of the course and complete one simulation test, with a minimum score of 60%, to obtain a certificate.