Hadoop: Map Reduce

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8.2K+ Learners

Beginner

This course allows beginners to learn the basics of Hadoop Map Reduce, a powerful interactive charting technique. With Seaborn and Cufflinks, you will learn the basics of data visualization and create interactive charts.

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Certificate of completion

Presented to

John Doe

For successfully completing a online course

Hadoop: Map Reduce

Provided by

Foundation Skills Library

(on JAN XXXX)

What you learn in Hadoop: Map Reduce ?

Apache Hadoop

MapReduce Framework

Data Visualization using Interactive Charting techniques

Cufflinks

Seaborn

About this Course

This Hadoop Map Reduce course is designed for beginners to learn the basics of data processing technology. The course will give you an understanding of the Map Reduce programming model and the underlying logical data flow. It also comprehends record reader, mapper, sort, shuffle, and reducer techniques and helps you understand the MapReduce framework. You will then gain skills to implement Cufflinks and Seaborn library to learn data visualization techniques using interactive charting techniques.

The free online course is easy to follow and provides a detailed introduction to the fundamentals of Hadoop Map Reduce. After completion, learners will receive a free certificate to demonstrate their mastery of the subject.

A Data Science certificate course is a great way to learn data processing tools and technologies and get up-to-speed with the industry's most influential technology.

Course Outline

Introduction to Map-Reduce

This section explains how Hadoop MapReduce serves as a framework for writing codes for applications that process vast amounts of data on large clusters. It also discusses its programming model that processes massive datasets across computer clusters and its application feature that stores data in distributed form.

Map-Reduce Approach with Demonstration

This section demonstrates how Hadoop Map Reduce assigns data across nodes in the cluster, splits the data into chunks, and uses an algorithm to process them in parallel. This section also explains how it increases the pace of handling vast-size data in petabytes while processing on multiple machines.

HDFS in Hadoop 1.x vs in Hadoop 2.x YARN

This section explains how Hadoop 1,x uses HDFS to store data. It also discusses the role of MapReduce in Resource Management and Data Processing. It then compares Hadoop 2, YARN, with HSFS in Resource Management and data storage.

HDFS Configuration Files

This section guides you in configuring files located in extracted tar.gz files in the etc/Hadoop/directory. It then discusses HADOOP-ENV.sh specifications of the platform variables affecting JDK used by Hadoop Daemon (bin/Hadoop).