JUNE 27-30
Programmation R pour le Big Data
Use familiar tools and run R workloads at unprecedented scale
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
