Flight Analytics

Flight Analytics with sparklyR Created by Michiaki Ariga (aki@cloudera.com)

Status: Demo Ready

Use Case: Analytics of US flights and building a predictive model

Steps:

1. Open a CDSW terminal and run setup.sh
   
2. Create a R Session and run setup.R
   
3. Run flight-analytics.R in the same R Session.
   
4. Optionally, run flight-regression.R in an R session. This will take a longer amount of time and you may want to run it in another session.
   
5. When finished, run cleanup.R in your R session and cleanup.sh in the terminal
   

Recommended Session Sizes: 4 CPU, 8 GB RAM

Recommended Jobs/Pipeline:
None

Notes:

Estimated Runtime:
flight-analytics.R --> approx 1 min flight-regression.R --> approx 15 min

Demo Script
TBD

Related Content:
http://blog.cloudera.com/blog/2017/02/analyzing-us-flight-data-on-amazon-s3-with-sparklyr-and-apache-spark-2-0/