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JUNE 27-30

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R programming on big data

Use familiar tools and run R workloads at unprecedented scale
Announcing RStudio Integration with Databricks

Increase productivity of R users

  • Use familiar tools and libraries from the R ecosystem
  • Benefit from seamless integration with RStudio Server
  • Quickly parallelize R jobs with SparkR and sparklyr

Simplify access to large data sets

  • Quickly tap into datasets from various sources
  • Easily explore data with familiar tools and interfaces
  • Clean and enrich data faster with optimized format

Enable R workloads at scale

  • Get results 10-100x faster than Apache Spark™
  • Auto-scale resources for the most demanding jobs
  • Lower costs with efficient clusters management

Featured Content on R Programming

Announcing RStudio and Databricks Integration

Blog

R and Spark: How to Analyze Data Using RStudio’s Sparklyr and H2O’s Rsparkling Packages

Video

Extending the R API for Spark with sparklyr and Microsoft R Server

Video