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WEEKEND - Full-day Hadoop MapReduce Hands-On

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Hosted By
Arun B.
WEEKEND - Full-day Hadoop MapReduce Hands-On

Details

Laptop Setup Instructions - https://docs.google.com/document/d/1WPNcY6aY_DcAQZth5XnT4nVgIOdCV2DiXkaBkD6SYhQ/edit?usp=sharing

Notes - https://docs.google.com/document/d/1kmCAydV8RH-Cq2RW9cOOK2vaZDX32sUtLVdfEu2Zo8w/edit?usp=sharing

This is a 9 AM - 6 PM type of session with a few breaks.

Open to all including students (freshman/Masters/PhD) as long as you are interested in coding.

Entry criteria - some basic Java and basic Linux skills with Macbooks or Ubuntu installed on your laptop.

At the end of the day, you will learn (all are hands-on)
--- Fundamentals of HDFS distributed file system
--- Fundamentals of Hadoop
--- Internals of what MapReduce is
--- How MapReduce works and the components of the system
--- Writing and running a basic MapReduce job (in Java)
--- Creating a cluster of laptops to run a job in true distributed mode
--- Process 1 billion rows of data using just laptop(s)

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Big Data Hands-On Workshops
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MIT - Tang Center
70 Memorial Dr, Room E51-145 · Cambridge, MA