Big Data Basics: Hadoop, MapReduce, Hive, Pig, & Spark - Udemy Free Course

Learn about some of the most popular massive information analysis frameworks in commercial use - and look at some actual code

Interested in analyzing massive information sets? You ought to be - according to CareerCast, "data scientist" is the 8th most highly paid profession in the United States! In case you have some coding or scripting background, you can make your experience even more valuable by understanding how to make use of Hadoop, MapReduce, Hive, Pig, and Spark to crunch immense information sets in parallel.

What We'll Cover:

These techniques are used by some of the largest and most prestigious tech employers, including Google, Facebook, Twitter, Amazon, EBay, Yahoo, and lots of more. After this coursework, you'll speak their language!

What is MapReduce and Hadoop?
What are some real-world applications of these technologies?
A walk-through of designing, coding, and jogging a actual example of MapReduce using actual information.
How Hadoop distributes computing across a cluster of machines
An overview of Hive, Pig, and Spark along with a couple of small examples.
This free video-based coursework offers over 50 minutes of video over ten lectures! I'll talk with you about these topics, and we'll look at some slides and some code to make them actual.

I hope this coursework whets your appetite to learn even more about Hadoop and MapReduce! They are valuable and fascinating skills to have.

Udemy Course :https://www.udemy.com/big-data-basics-hadoop-mapreduce-hive-pig-spark/