Learn Apache Spark 3 with Scala: Hands On with Big Data!

Apache Spark tutorial with 20+ hands-on examples of analyzing large data sets, on your desktop or on Hadoop with Scala!

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”.

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What you’ll learn

• Frame big data analysis problems as Apache Spark scripts
• Develop distributed code using the Scala programming language
• Optimize Spark jobs through partitioning, caching, and other techniques
• Build, deploy, and run Spark scripts on Hadoop clusters
• Process continual streams of data with Spark Streaming
• Transform structured data using SparkSQL, DataSets, and DataFrames
• Traverse and analyze graph structures using GraphX
• Analyze massive data set with Machine Learning on Spark

You May Also Need This Course: Apache Maven: Beginner to Guru for Java and Spring Boot Apps

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