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Predictive analytics, machine learning, and statistical modeling for big data

  • Pros

  • Existing R skills
  • Legacy R workloads
  • High performance R
  • Spark and Hadoop integration
  • Develop with R Studio
  • Managed service
  • Artefact versioning
  • Cons

  • Python popularity
  • Relatively high operational / admin costs
  • No consumption-based SKUs