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
|Install Java and Hadoop||00:02:00|
|Set environment variables||00:01:00|
|Save your work to an image||00:01:00|
|Launch Hadoop cluster||00:01:00|
|Test and Benchmark||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|
|Add a new datanode to the cluster||00:01:00|
|Configure High Availability mode||00:01:00|
|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|
|Submit Your Assignment||00:00:00|
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