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December 06, 2022

16:00 UTC   Start Times Around the World

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Description

How to Store and Manage Named R and Python User-Defined Functions in Autonomous Database
Join us for this session on the Oracle Machine Learning for R (OML4R) and Python (OML4Py) Script Repository. The primary use of the script repository is to support deploying R and Python-based solutions to applications and dashboards easily by invoking user-defined functions (UDFs) from SQL and REST APIs. Users store UDFs in the user's database schema and can grant and revoke access to other database users, facilitating code hand-off from data scientists to application developers within the database, and avoiding separately managed flat files during solution deployment. UDFs can also be loaded across database sessions and even used in other named UDFs. This session includes a demonstration through OML Notebooks on Oracle Autonomous Database.
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This session: https://asktom.oracle.com/pls/apex/asktom.search?oh=19762

Your Experts

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    Nicholas Cusato

    Nicholas Cusato

    Nicholas is a Solution Engineer working from the North America Specialist Hub, specializing in Data Management. He has a background in parallel programming and strong interest in supercomputing.
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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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