On this weekly Office Hours for Oracle Machine Learning on Autonomous Database, Hadi Javaherian, Senior AppDev and Integration Platform Specialist explained all the benefits of the integration between Oracle Stream Analytics and Oracle Machine Learning Services. He shared how this is directly related to the concept of Data Mesh at a high level, and also showed how easy it is for a user to create models using OML AutoML UI and deploy them in seconds to OML Services, which then are made available immediately to Oracle Stream Analytics for real time scoring.
The Oracle Machine Learning product family supports data scientists, analysts, developers, and IT to achieve data science project goals faster while taking full advantage of the Oracle platform.
The Oracle Machine Learning Notebooks offers an easy-to-use, interactive, multi-user, collaborative interface based on Apache Zeppelin notebook technology, and support SQL, PL/SQL, Python and Markdown interpreters. It is available on all Autonomous Database versions and Tiers, including the always-free editions.
OML includes AutoML, which provides automated machine learning algorithm features for algorithm selection, feature selection and model tuning, in addition to a specialized AutoML UI exclusive to the Autonomous Database.
OML Services is also included in Autonomous Database, where you can deploy and manage native in-database OML models as well as ONNX ML models (for classification and regression) built using third-party engines, and can also invoke cognitive text analytics.
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