The Building Blocks of Hadoop – HDFS, MapReduce, and YARN
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Processing billions of records requires a deep understanding of distributed computing. In this course, you’ll get introduced to Hadoop, an open-source distributed computing framework that can help you do just that.
You know how to write Java code and you know what processing you want to perform on your huge dataset. But, can you use the Hadoop distributed framework effectively to get your work done?
This course, The Building Blocks of Hadoop HDFS, MapReduce, and YARN, gives you a fundamental understanding of the building blocks of Hadoop:
Author Name: Janani Ravi
Author Description:
Janani has a Masters degree from Stanford and worked for 7+ years at Google. She was one of the original engineers on Google Docs and holds 4 patents for its real-time collaborative editing framework. After spending years working in tech in the Bay Area, New York, and Singapore at companies such as Microsoft, Google, and Flipkart, Janani finally decided to combine her love for technology with her passion for teaching. She is now the co-founder of Loonycorn, a content studio focused on providing … more
Table of Contents
- Course Overview
1min - Introducing Hadoop
20mins - Installing Hadoop
33mins - Storing Data with HDFS
34mins - Processing Data with MapReduce
26mins - Scheduling and Managing Tasks with YARN
22mins
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