While R has made significant gains in performance with each new release, sometimes the data itself is the bottleneck - having to move it from one environment to another. With enterprise data stored in Oracle databases, the integration of R with Oracle Database enables using R more efficiently at on larger volume data. Oracle Machine Learning for R (OML4R) – the R interface to in-database machine learning and R script deployment from Oracle – enables you to work with database tables and views using familiar R syntax and functions. For scalable and performant data exploration, data preparation, and machine learning, R users leverage Oracle Database as a high-performance compute engine and build machine learning models using parallelized in-database algorithms using R Formula-based specification. Further, deployment of user-defined R functions from SQL facilitates application and dashboard development, where R engines are dynamically spawned and controlled by Oracle Database. Users can even take advantage of running user-defined R functions in a data-parallel and task-parallel manner.