Programming Hadoop with Python
4.2 (42 ratings)
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Programming Hadoop with Python

Learn to use Python for developing Map Reduce applications
4.2 (42 ratings)
Instead of using a simple lifetime average, Udemy calculates a course's star rating by considering a number of different factors such as the number of ratings, the age of ratings, and the likelihood of fraudulent ratings.
794 students enrolled
Created by V2 Maestros, LLC
Last updated 1/2017
English
Current price: $10 Original price: $50 Discount: 80% off
5 hours left at this price!
30-Day Money-Back Guarantee
Includes:
  • 3 hours on-demand video
  • 2 Articles
  • 1 Supplemental Resource
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion
What Will I Learn?
  • Understand the components of Hadoop
  • Learn how Map Reduce works
  • Master the creation of Map Reduce jobs with Python
View Curriculum
Requirements
  • Python programming knowledge/ experience
  • Unix / Linux experience preferred.
Description

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.

Who is the target audience?
  • Developers and Architects
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Curriculum For This Course
20 Lectures
02:54:21
+
Introduction
3 Lectures 06:06


Set of files and datasets used in examples for this course

Course Resource Bundle
00:01
+
Hadoop Basics
7 Lectures 01:18:21

Setting up the Cloudera VM
06:51

About HDFS
14:46

HDFS Usage Examples
06:01

Introduction to Map Reduce
17:24

A Map Reduce example in Java
16:46

The Hadoop Stack
06:27
+
Python with Hadoop
2 Lectures 14:11
Introduction to Hadoop Streaming
09:44

Using Python with Hadoop Streaming
04:27
+
Hadoop - Python Use Cases
6 Lectures 01:13:51
Use Case 1 : Basic Data Cleansing
11:37

Use Case 2 : Data Filtering
06:53

Use Case 3 : Data Summarization
07:19

Use Case 4 : Joining Data
15:56

Introduction to Text Processing / TF-IDF
14:53

Use Case 5 : Computing TF-IDF
17:13
+
Conclusion
2 Lectures 01:52
Closing Remarks
01:47

BONUS Lecture : Other courses you should check out
00:05
About the Instructor
V2 Maestros, LLC
4.1 Average rating
2,796 Reviews
28,369 Students
13 Courses
Big Data Science / Analytics Experts | 25K+ students

V2 Maestros is dedicated to teaching big data / data science at affordable costs to the world. Our instructors have real world experience practicing big data and data science and delivering business results. Big Data Science is a hot and happening field in the IT industry. Unfortunately, the resources available for learning this skill are hard to find and expensive. We hope to ease this problem by providing quality education at affordable rates, there by building data science talent across the world.