Hands-on Lab:Predicting Demand with Machine Learning & Autonomous Data Warehouse

This is a past event

54 people went

5805 Owens Dr

5805 Owens Dr · Pleasanton, CA

How to find us

Building 5805, conference room 1246 on the first floor. Entrance to the building is from the side door closest to the parking. Door position is shown as a red pin on the google map below. You can park anywhere in the open parking lot.

Location image of event venue


IMPORTANT: Please bring your own laptop for this workshop.
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

6:00 pm: Grab a seat. Have some food and drinks and network.
6:30 pm: A short presentation on Oracle Machine Learning & Autonomous Data Warehouse
6:45 pm: Workshop Starts
8:30 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).

Workshop Details:
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

Workshop Instructors:
Rajneesh Tiwary is Principal Cloud Architect for Oracle with 18+ years of working experience in information technology and software development lifecycle.

Shoba Ramdas is a Senior Analytics Solutions Engineer for Oracle with 10+ years of experience in Information Technology specializing in Analytics and Business Intelligence.

Haimanti Basu is a Senior Solution Engineer at Oracle with 12+ years of experience in Data Management, Administration and Operations.

Riz Mithani is a Solution Engineering Manager for the Cloud Platform at Oracle with 20 years of experience helping customers architect solutions.