[PDF] Using R for Big Data with Spark

Category: Tutorial


Posted on 2018-01-02, by luongquocchinh.

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Author: Using R for Big Data with Spark | Category: Video (tutorials, how-to, etc.) | Language: English | ISBN: fb0762e452314656885312c22412d66a |

Description: Using R for Big Data with Spark HDRips | MP4/AVC, ~592 kb/s | 1280x720 | Duration: 02:20:02 | English: AAC, 128 kb/s (2 ch) | 731 MB Genre: Development / Programming 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 Other Development / Programming lessons:

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