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#Free #Udemy Course on Big Data Basics: Hadoop, MapReduce, Hive, Pig, & Spark
July 28, 2016
0

Interested in analyzing big data sets? You should be – according to CareerCast, “data scientist” is the 8th most highly paid profession in the United States! If you have some coding or scripting background, you can make your experience even more valuable by understanding how to use Hadoop, MapReduce, Hive, Pig, and Spark to crunch huge data sets in parallel.

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

What We’ll Cover:

  • What is MapReduce and Hadoop?
  • What are some real-world applications of these technologies?
  • A walk-through of designing, coding, and running a real example of MapReduce using real data.
  • 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 course offers over 50 minutes of video over 10 lectures! I’ll talk with you about these topics, and we’ll look at some slides and some code to make them real.

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

Get your #Free #Udemy Course on Big Data Basics: Hadoop, MapReduce, Hive, Pig, & Spark by clicking here.

#Free #Udemy Course on Big Data Basics Hadoop, MapReduce, Hive, Pig, & Spark

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