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January 10, 2023

16:00 UTC   Start Times Around the World

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Description

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.
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    Hannah Nguyen

    Hannah Nguyen

    Hannah Nguyen is a Solution Engineer in the North America Cloud & Technology Specialist org. She is a deep subject matter expert focused on Data and Integration. Her team works closely with Sales and Product Management to help customers ideate, architect, and implement using Oracle Technology.
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    Sherry LaMonica

    Sherry LaMonica

    Sherry is a member of the Oracle Machine Learning Product Management team. She has 20 years of software experience focused on enabling the commercial use of the open-source data analysis software systems R and Python for data science and machine learning projects. She has worked with customers in fields as diverse as as pharmaceutical research, financial analysis, manufacturing and healthcare IT.
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    Mark Hornick

    Mark Hornick   

    Mark Hornick is the Senior Director of Product Management for the Oracle Machine Learning (OML) family of products. He leads the OML PM team and works closely with Product Development on product strategy, positioning, and evangelization. Mark has over 20 years of experience with integrating and leveraging machine learning with Oracle technologies, and working with internal and external customers in applying Oracle’s machine learning technologies for scalable and deployable data science projects. Mark is Oracle’s representative to the R Consortium and an Oracle adviser and founding member of the Analytics and Data Oracle User Community. He holds a bachelor's degree from Rutgers University and a master's degree from Brown University, both in Computer Science.
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