ABSTRACT
This Virtual DevDay will take you through the end-to-end setup of a Redshift data warehouse. We’ll start out with click data stored in Amazon Simple Storage Service (Amazon S3) and user data stored in MySQL, and end up with a fully-functioning Amazon Redshift warehouse and a materialized view based on data from both systems that updates in near real-time.
WHO THE WORKSHOP IS FOR
- Data engineers looking to build or improve a data warehouse or lake
- Architects looking to evaluate ETLT solutions for AWS
ATTENDEE GOALS
- Learn the basics of Amazon Redshift
- Understand the components of ETLT architecture on AWS
- Appreciate the pros and cons of fully-managed ETLT pipelines
AGENDA
- 9:00 - 10:00 Introduction and setup
- 10:00 - 12:50 Hands-on workshop
- 12:50 - 1:00 Q&A
LOCATION
Virtual: Meet us via the Zoom Meeting link in your registration email!
DATE
Wednesday, October 19 2022
TIME
9am - 1pm PST
DATE
Wednesday, October 19 2022
TIME
9am - 1pm PST
Please have your laptop ready to participate in this workshop and make sure you have an active AWS account.
SPEAKERS
Sathisan Vannadil, AWS is a Sr. Partner Solutions Architect in Data and Analytics, at AWS. He is a seasoned Solutions Architect and product leader, bringing over 20 years of experience in designing and developing data warehouses, analytics platforms, and AI/ML solutions for diverse businesses. He helps partners build joint solutions using AWS services.
Sathisan Vannadil, AWS is a Sr. Partner Solutions Architect in Data and Analytics, at AWS. He is a seasoned Solutions Architect and product leader, bringing over 20 years of experience in designing and developing data warehouses, analytics platforms, and AI/ML solutions for diverse businesses. He helps partners build joint solutions using AWS services.
Caius Brindescu, Etleap is an engineer at Etleap with over 3 years of experience in developing ETL software. In addition to development work, he helps customers make the most out of Etleap and Amazon Redshift. He holds a PhD from Oregon State University and one AWS certification (Big Data – Specialty).