Partner links

Using Apache SparkR to power Shiny Applications

Apache Sparkr

Editor: This is part 1 of a multi-part article published by SparkIQ Labs, a Big Data outfit based in Kampala, Uganda.

The objective of this blog post is demonstrate how to use Apache SparkR to power Shiny applications. I have been curious about what the use cases for a “Shiny-SparkR” application would be and how to develop and deploy such an app.

SparkR is an R package that provides a light-weight frontend to use Apache Spark from R. SparkR provides a distributed data frame implementation that supports operations like selection, filtering, aggregation etc. (similar to R data frames, dplyr) but on large datasets. SparkR also supports distributed machine learning using MLlib.

Shiny is an open source R package that provides an elegant and powerful web framework for building web applications using R. Shiny helps you turn your analyses into interactive web applications without requiring HTML, CSS, or JavaScript knowledge.

Use Cases Continue reading.

Apache Sparkr

Share:

Share on facebook
Facebook
Share on twitter
Twitter
Share on pinterest
Pinterest
Share on linkedin
LinkedIn

Partner links

Newsletter: Subscribe for updates

Subscribe
Notify of
guest
0 Comments
Inline Feedbacks
View all comments

Get the latest

On social media

Security distros

Hacker
Linux distros for hacking and pentesting

Crypto mining OS

Bitcoin
Distros for mining bitcoin and other cryptocurrencies

Crypto hardware

MSI GeForce GTX 1070
Installing Nvidia GTX 1070 GPU drivers on Ubuntu

Disk guide

LVM
Beginner's guide to disks & disk partitions in Linux

Bash guide

Bash shell terminal
How to set the PATH variable in Bash
Categories
Archives
0
Hya, what do you think? Please comment.x
()
x