This session will focus on the best practice use of the Oracle Autonomous Health Framework (AHF) and its tools with an emphasis on troubleshooting private cloud database deployments. It will cover the troubleshooting tips and tricks which DBA’s need on a daily basis using tools like Trace file Analyzer (TFA) , Exachk (Best Practices) , Cluster Health Advisor.. Additionally, use cases focusing on best practices for targeted diagnosis and rapid recovery to preserve availability will be covered. This will also cover the new troubleshooting tips for Oracle Database 19c.

We are entering a new era in the database with the introduction of the Oracle Autonomous Database. AI and Machine Learning are center stage to most projects and assist in making complex decisions which was not possible before. Most data science projects don’t get beyond the data scientist and rarely operationalize their predictive models. There are new toolsets and methods available everyday which make this an extremely dynamic space. There are different categories of users who want to use the algorithms, the toolsets but don’t know where to start. Whether you are a data scientist who wants to play with data and build your own models or make use of the database features with the built in models or use the specific AI services within a specific vertical such as Insurance or Healthcare. We will take a glimpse at Oracle’s Machine Learning Zeppelin-based notebooks for Oracle ADWC to how Oracle uses AIOps and Applied Machine learning for its own operations and he Oracle AI Platform Cloud