Creating and using conda environments with third-party Python and R packages on Autonomous Database

Oracle Machine Learning Notebooks now provides a conda interpreter to install third-party Python and R packages in custom-created conda environments for use within notebook sessions and Python and R embedded execution. With this feature, users can leverage the broader Python and R package ecosystems to augment Oracle Autonomous Database functionality. With embedded execution, users can run user-defined Python and R functions with these custom environments in engines spawned and managed by the database environment, while optionally taking advantage of OML4Py and OML4R data parallelism and task parallelism. Join us to learn about this new feature and see demonstrations of conda environment creation and use within OML Notebooks and REST/SQL invocation of user-defined Python and R functions.