Learn How to Create Hadoop MapReduce Jobs in Python

[LeeAndro]

Learn How to Create Hadoop MapReduce Jobs in Python
.MP4 | Video: 1280x720, 30 fps(r) | Audio: AAC, 48000 Hz, 2ch | 626 MB
Duration: 4.5 hours | Genre: eLearning Video | Language: English

Hadoop MapReduce Jobs Using Python

What you'll learn

Understand MapReduce i.e. Heart of Big Data and Hadoop.

Design and Implement Mapper and Reducer phase in Python

Integrate Mapper phase and Reducer phase with Java Driver Class

What you'll learn
Understand what is Hadoop?
Understand MapReduce i.e. Heart of Big Data and Hadoop.
Running Jobs using Python.
Design and Implement Mapper and Reducer phase in Python
Execute and Run Hadoop Streaming Jobs
Integrate Mapper phase and Reducer phase with Java Driver Class
Requirements
Basics of Computer Science
Basics of Hadoop would be benificial but not required
Basics of Object Oriented Programming
Description
Apache Hadoop is an open-source software framework for distributed storage and distributed processing of very large data sets on computer clusters built from commodity hardware. MapReduce is the heart of Apache Hadoop. MapReduce is a framework which allows developers to develop hadoop jobs in different languages. So in this course we'll learn how to create MapReduce Jobs with Python.This course will provide you an in-depth knowledge of concepts and different approaches to analyse datasets using Python Programming.
This course on MapReduce Jobs with Python will help you to understand MapReduce Jobs Programming in Python, how to set up an environment for the running MapReduce Jobs in Python, how to submit and execute MapReduce applications in Python environment. We will start from beginning and then dive into the advanced concepts of MapReduce.
Who this course is for:
Big Data Professionals
Hadoop Developers
Python Developers who want to go in the field of Big Data
Students who are interested in Hadoop MapReduce

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