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A Hadoop cluster is a special type of computational cluster designed for storing and analysing
huge amounts of unstructured data in a distributed computing environment. The [course_title]
course is designed to help you to handle big data problems with your Hadoop clusters.
Throughout the course, you will learn to deploy Hadoop clusters in the cloud and able to use
them to gain insights from large datasets.


This course does not involve any written exams. Students need to answer 5 assignment questions to complete the course, the answers will be in the form of written work in pdf or word. Students can write the answers in their own time. Each answer needs to be 200 words (1 Page). Once the answers are submitted, the tutor will check and assess the work.


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Course Credit: Google

Course Curriculum

Module: 01
Course Introduction 00:01:00
Hadoop architecture 00:01:00
Install Java and Hadoop 00:02:00
Set environment variables 00:01:00
Save your work to an image 00:01:00
Module: 02
Question 00:01:00
Solution 00:01:00
Launch Hadoop cluster 00:01:00
Test and Benchmark 00:01:00
Outro 00:01:00
Module: 03
Introduction [Headshot] 00:01:00
Launch remaining nodes for the cluster 00:00:00
Launch remaining nodes for the cluster 00:02:00
Set up cluster through Ambari web client 00:02:00
Untitled 00:01:00
Module: 04
Untitled 00:01:00
Add a new datanode to the cluster 00:01:00
Configure High Availability mode 00:01:00
Lesson Outro 00:01:00
Introduction 00:01:00
Module: 05
On-demand Hadoop clusters 00:01:00
Introduction to Amazon EMR 00:01:00
Launch an EMR cluster 00:02:00
Run a MapReduce job 00:01:00
Course Outro 00:01:00
Submit Your Assignment 00:00:00

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