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Udemy - Apache Spark 2 0 with Scala – Hands On with Big Data!

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“Big data” analysis is a hot and highly
valuable skill – and this course will teach you the hottest technology in big data: Apache Spark. Employers
including Amazon, EBay, NASA JPL, and Yahoo all use Spark to quickly extract meaning from massive data sets across a
fault-tolerant Hadoop cluster. You’ll learn those same techniques, using your own Windows system right at home.
It’s easier than you might think, and you’ll be learning from an ex-engineer and senior manager from
Amazon and IMDb.Spark works best when using the Scala programming language, and this course includes a crash-course in
Scala to get you up to speed quickly. For those more familiar with Python however, a Python version of this class is
also available: “Taming Big Data with Apache Spark and Python – Hands On”.Learn and master the art of
framing data analysis problems as Spark problems through over 20 hands-on examples, and then scale them up to run on
cloud computing services in this course.

 Learn the concepts of Spark’s Resilient Distributed
Datastores
 Get a crash course in the Scala programming language
 Develop and run Spark jobs quickly using
Scala
 Translate complex analysis problems into iterative or multi-stage Spark
scripts
 Scale up to larger data sets using Amazon’s Elastic MapReduce
service
 Understand how Hadoop YARN distributes Spark across computing clusters
 Practice using other Spark
technologies, like Spark SQL, DataFrames, DataSets, Spark Streaming, and GraphX

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 Spark 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 SpiderMan? You’ll find the answer.

This course is very hands-on; you’ll
spend most of your time following along with the instructor as we write, analyze, and run real code together –
both on your own system, and in the cloud using Amazon’s Elastic MapReduce service. 7.5 hours of video content is
included, with over 20 real examples of increasing complexity you can build, run and study yourself. Move through them
at your own pace, on your own schedule. The course wraps up with an overview of other Spark-based technologies,
including Spark SQL, Spark Streaming, and GraphX.
Who is the target audience?

 Software engineers
who want to expand their skills into the world of big data processing on a cluster
 If you have no previous
programming or scripting experience, you’ll want to take an introductory programming
course first.

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