Real Time Analysis using DistributedR & Vertica

What is the best way to combine Vertica and DistributedR to get real-time predictions based on a clustering model using DistributedR


Use Case:

  • We have a model which clusters twitter data using location and retweet count and stores the results in vertica.
  • This will be run on a weekly basis. 


  • For tweets coming in real time, we want to predict which cluster is the best fit for each tweet. 
  • We could be looking at up to 500 tweets per minute at peak times.

What is the recommended way to combine Vertica and DistributedR in production for this use case?

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