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Apache Spark 2.0 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!
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⭐️⭐️⭐️⭐️ 4.6 (3,024 ratings)
🎓🎓🎓🎓 15,442 students enrolled
⏱⏱⏱⏱ 7.5 hours on-demand video
Created by Sundog Education by Frank Kane
English
What Will I 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 and DataFrames
- Traverse and analyze graph structures using GraphX
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.
- 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.
- The software needed for this course is freely available, and I'll walk you through downloading and installing it.
Description
New! Updated for Spark 2.0.0.“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.
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