Using Sparklyr To Analyze Flight Data

Aki Ariga uses sparklyr on Apache Spark 2.0 to analyze flight data living in S3:

Using sparklyr enables you to analyze big data on Amazon S3 with R smoothly. You can build a Spark cluster easily with Cloudera Director. sparklyr makes Spark as a backend database of dplyr. You can create tidy data from huge messy data, plot complex maps from this big data the same way as small data, and build a predictive model from big data with MLlib. I believe sparklyr helps all R users perform exploratory data analysis faster and easier on large-scale data. Let’s try!

You can see the Rmarkdown of this analysis on RPubs. With RStudio, you can share Rmarkdown easily on RPubs.

Sparklyr is an exciting technology for distributed data analysis.

Related Posts

Mounting HDFS As A Local Filesystem

Guy Shilo looks at two techniques for mounting HDFS as a local filesystem: NFS Gateway is a HDFS component that enables the use to expose HDFS through NFS3 interface so that Linux machines can mount it and access it just as a local filesystem. The manual installation is quite cumbersome and is covered here. Cloudera manager […]

Read More

How Humio Uses Kafka

Kresten Krab describes ways that Humio uses Apache Kafka for their product: Humio is a log analytics system built to run both on-prem and as a hosted offering. It is designed for “on-prem first” because, in many logging use cases, you need the privacy and security of managing your own logging solution. And because volume […]

Read More

Categories

February 2017
MTWTFSS
« Jan Mar »
 12345
6789101112
13141516171819
20212223242526
2728