Apache Spark with Scala Hands On with Big Data
Dive right in with 20+ hands-on examples of analyzing large data sets with Apache Spark, on your desktop or on Hadoop!
What you’ll learn
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Frame big data analysis problems as Apache Spark scripts
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Develop distributed code using the Scala programming language
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Optimize Spark jobs through partitioning, caching, and other techniques
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Build, deploy, and run Spark scripts on Hadoop clusters
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Process continual streams of data with Spark Streaming
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Transform structured data using SparkSQL, DataSets, and DataFrames
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Traverse and analyze graph structures using GraphX
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Analyze massive data set with Machine Learning on Spark
Requirements
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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.
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You will need a desktop PC and an Internet connection. The course is created with Windows in mind, but users comfortable with MacOS or Linux can use the same tools.
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The software needed for this course is freely available, and I’ll walk you through downloading and installing it.
Who this course is for:
- 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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