Learn to use Python for developing Map Reduce applications

Hadoop is a hot new technology that is growing everyday in its adaption in the Big Data world. However, Hadoop is built using Java and application developers need to know/learn Java for developing MapReduce applications. Python is a very popular programming language that makes the development of applications simple and easy. Hadoop provides a way by which MapReduce applications can be built using Python. This way, developers can use existing knowledge and code base for quickly developing MapReduce applications.

This intent of this course is to help Python developers learn the concepts and techniques for developing real world applications in Hadoop. It walks the learner through 5 examples of increasing difficulty for mastering MapReduce through Python.

What are the requirements?

Python programming knowledge/ experience
Unix / Linux experience preferred.
What am I going to get from this course?

Over 19 lectures and 3 hours of content!
Understand the components of Hadoop
Learn how Map Reduce works
Master the creation of Map Reduce jobs with Python
What is the target audience?

Developers and Architects