Five (5) Oracle Machine Learning Notebooks You Should Know!

Oracle Machine Learning Notebooks provide a collaborative user interface for data scientists and business and data analysts who perform machine learning in Oracle Autonomous Database--both Autonomous Data Warehouse (ADW) and Autonomous Transaction Processing (ATP). Oracle Machine Learning Notebooks enables data scientists, citizen data scientists, and data analysts to work together to explore their data visually and develop analytical methodologies. The Notebooks interface provides access to Oracle's high performance, parallel and scalable in-database implementations of machine learning algorithms via SQL and PL/SQL, with support for Python and R coming soon. Easy to understand and easy to repurpose, OML notebooks enable novice,

Oracle 19c Hands-On Experience: New Features

Join ODTUG and Viscosity for a hands-on virtual class that introduces new features and enhancements in the Oracle 19c Database. In this two hour class, students will get hands-on experience with Automatic Indexing, Performance Tuning and SQL Quarantine. Participants will also discover ways the Oracle 19c improves database security and protects data. Only 30 user logins are available for hands-on, so be sure to register quickly as a "Hands-On Participant" if you want to secure a login for yourself. Registration is unlimited for those only interested in watching/listening. Outline: Automatic Indexing SQL Performance Tuning Enhancements Automatic SQL Plan Management Real-Time