Taming Big Data with MapReduce and Hadoop - Hands On!

Partner: Udemy
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Description: “Big data" analysis is a hot and highly valuable skill – and this course will teach you two technologies fundamental to big data quickly: MapReduce and Hadoop. Ever wonder how Google manages to analyze the entire Internet on a continual basis? You'll learn those same techniques, using your own Windows system right at home. Learn and master the art of framing data analysis problems as MapReduce problems through over 10 hands-on examples, and then scale them up to run on cloud computing services in this course. You'll be learning from an ex-engineer and senior manager from Amazon and IMDb. Learn the concepts of MapReduce Run MapReduce jobs quickly using Python and MRJob Translate complex analysis problems into multi-stage MapReduce jobs Scale up to larger data sets using Amazon's Elastic MapReduce service Understand how Hadoop distributes MapReduce across computing clusters Learn about other Hadoop technologies, like Hive, Pig, and Spark By the end of this course, you'll be running code that analyzes gigabytes worth of information – in the cloud – in a matter of minutes. We'll have some fun along the way. You'll get warmed up with some simple examples of using MapReduce to analyze movie ratings data and text in a book. Once you've got the basics under your belt, we'll move to some more complex and interesting tasks. We'll use a million movie ratings to find movies that are similar to each other, and you might even discover some new movies you might like in the process! We'll analyze a social graph of superheroes, and learn who the most “popular" superhero is – and develop a system to find “degrees of separation" between superheroes. Are all Marvel superheroes within a few degrees of being connected to The Incredible Hulk? You'll find the answer.</
Category: Business > Business Analytics & Intelligence > MapReduce
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Price: 89.99
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Source: Impact
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