In the first 90-minute Oracle Machine Learning workshop, we will step users through Oracle Machine Learning (SQL) Notebooks while using multiple use case scenarios for analyzing insurance claims data and customer behavior data. Students will run the notebooks themselves to build and apply OML models inside Oracle Autonomous Database and then work with Oracle APEX applications that leverage OML’s insights and predictions.  We will also emphasize OML AutoML User Interface where “citizen data scientists” can easily “click” their way to good ML models and generate notebooks for further customization and deployment.

In the second 90-minute OML workshop, we will step users through the Oracle Machine Learning Notebooks with an emphasis on the new OML4Py support for Python. Students will run the notebooks themselves to build and apply OML models inside Oracle Autonomous Database while leveraging both OML4Py’s in-database functionality and the ability to run open-source Python (pandas, scikit-learn, matplotlib, etc.). Having built OML models, students will then focus on model deployment using both SQL for in-database scoring and REST APIs using Oracle Machine Learning Services.

Explore the new Graph Studio feature of Oracle Autonomous Database and its power to find new insights in your data. Graph analytics enables you to find important entities, hidden relationships, anomalous patterns, tightly connected clusters, and more. In this lab, you will load and model data as a graph, use graph algorithms APIs, query for graph patterns in your data, and visualize results in an integrated notebook. With Graph Studio you will get started with graphs in minutes.

Note: All you’ll need in order to participate in this Hands-On Lab is a stable internet connection, a modern web browser, and an eagerness to learn! Your instructor will provide you the Oracle Autonomous Database environment, using LiveLabs platform on the cloud, and guidance throughout the exercises in this Graph lab. You may join the session without participating in the hands-on exercises if you prefer. Please register by May 5th, to guarantee your access to the LiveLabs environment. 

Workshop Leaders:

Jayant Sharma, Oracle

Albert Godfrind, Oracle 

Gianni Ceresa, DATAlysis

Explore the features of Spatial Studio for self-service spatial analysis and visualization. In this 90 minute workshop, you will quickly start working with data to create maps and analyze spatial relationships, using Spatial Studio’s intuitive drag-and-drop, no-code interface. Using datasets of traffic accidents, police stations, and police station service areas, you will load and visualize spatial data, and run spatial queries.

Note:  All you’ll need in order to participate in this Hands-On Lab is a stable internet connection, a modern web browser, and an eagerness to learn!  Your instructor will provide you the Oracle Autonomous Database environment including Spatial Studio using Live Labs platform on the cloud, and guidance throughout the exercises in this lab. You may join the session without participating in the hands-on exercises if you prefer. Please register by May 5th, to guarantee your access to the LiveLabs environment. 

Workshop Leaders:

David Lapp, Oracle

Wayne Van Sluys, interRel Consulting, Oracle ACE