Coupon & course info
Course Name: Apache Spark with Scala – Hands On with Big Data!
Subtitle: Dive right in with 20+ hands-on examples of analyzing large data sets with Apache Spark, on your desktop or on Hadoop!
Instructor: Taught by Frank Kane, Data Miner and Software Engineer
Subcategory: Data & Analytics
Provided by: Udemy
Price: $25 (before discount)
Free coupon code: See above (no charge for coupon)
Review info & popularity
As of August 12, 2016…
Students: 366 students enrolled
Ratings: 27 reviews
Rank: ranked #79c in Udemy Business Courses
Brief course description
“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.
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.
(Read more about this course on the official course page.)
Frank Kane bio
Frank Kane spent 9 years at Amazon and IMDb, developing and managing the technology that automatically delivers product and movie recommendations to hundreds of millions of customers, all the time. Frank holds 17 issued patents in the fields of distributed computing, data mining, and machine learning. In 2012, Frank left to start his own successful company, Sundog Software, which focuses on virtual reality environment technology, and teaching others about big data analysis.
(Learn more about this instructor on the official course page.)
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Final details for this Udemy course
Skill level: All Levels
Lectures: 47 lessons
Duration: 7 hours of video
What you get: Frame big data analysis problems as Apache Spark scripts
Target audience: Software engineers who want to expand their skills into the world of big data processing on a cluster
Requirements: Some prior programming or scripting experience is required. A crash course in Scala is included, but you need to know the fundamentals of programming in order to pick it up.
Access: Lifetime access
Peace of mind: 30 day money back guarantee
Availability: available online, as well as on iOS and Android
Download options: check course to see if you can download lessons