IMPORTANT: Please bring your own laptop for this workshop. Oracle will provide Free $500 Cloud Platform Credit for this workshop, credit card information is NOT required.
Please download and install SQL Developer version 18.3 or later on your laptop prior to coming to the meetup. https://www.oracle.com/tools/downloads/sqldev-v192-downloads.html
6:30 pm: Registrations, Food and Drinks, And Networking.
7:00 pm: A short presentation on Oracle Machine Learning & Autonomous Data Warehouse
7:15 pm: Workshop Starts
9:00 pm: Wrap up
This workshop will walk you through the process of using the Autonomous Data Warehouse for storing analytical datasets and applying Machine Learning models in order to learn the correlation between different attributes and predict future demand.
You will build and apply Machine Learning models using Oracle Analytics Cloud service without writing a single line of code. During the workshop, you will get exposure to Oracle Autonomous Data Warehouse (ADW), Oracle Machine Learning tool (OML) and Oracle Analytics Cloud Service (OAC).
Build and apply Machine Learning models using Oracle Analytics Cloud service without writing a single line of code to address a fictitious customer Bike Corp’s Challenges that include Bike Shortages at Peak Demand, Massive Amounts of Unleveraged Data, and Reactive Strategy to Demand Shortages.
You will learn to:
- Provision an Autonomous Data Warehouse (ADW) Instance and Oracle Analytics Cloud (OAC) instance
- Transfer Data to the ADW Instance
- Provision and Connect the OAC instance to the ADW instance to access the datasets
- Build Machine Learning models in OAC without writing a single line of code!
- Compare different machine learning models to find the one which fits this problem the best
Daniel Lay is Senior Analytics Consultant for Oracle with 15 years of experience in data technologies and visual effects.
Rakesh Mathur is Enterprise Cloud Architect for Oracle with over 15 years of experience in information technology.
Emily Etienne is Solution Engineer for Oracle with experience in web development and cloud analytics.