October 2016
Beginner to intermediate
2h 18m
English
Overview
Data analysts familiar with R will learn to leverage the power of Spark, distributed computing and cloud storage in this course that shows you how to use your R skills in a big data environment.
You'll learn to create Spark clusters on the Amazon Web Services (AWS) platform; perform cluster based data modeling using Gaussian generalized linear models, binomial generalized linear models, Naive Bayes, and K-means modeling; access data from S3 Spark DataFrames and other formats like CSV, Json, and HDFS; and do cluster based data manipulation operations with tools like SparkR and SparkSQL. By course end, you'll be capable of working with massive data sets not possible on a single computer. This hands-on class requires each learner to set-up their own extremely low-cost, easily terminated AWS account.
- Discover how to use your R skills in a big data distributed cloud computing cluster environment
- Gain hands-on experience setting up Spark clusters on Amazon's AWS cloud services platform
- Understand how to control a cloud instance on AWS using SSH or PuTTY
- Explore basic distributed modeling techniques like GLM, Naive Bayes, and K-means
- Learn to do cloud based data manipulation and processing using SparkR and SparkSQL
- Understand how to access data from the CSV, Json, HDFS, and S3 formats
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