New! Completely updated and re–recorded for Spark 3, IntelliJ, Structured Streaming, and a stronger focus on the DataSet API.
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 Datasets, DataFrames, and Datasets.
Get a crash course in the Scala programming language
Courses : 7
Specification: Apache Spark with Scala – Hands On with Big Data!
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