Data moves fast. In Formula 1, milliseconds decide championships and your analytics pipeline should be no different!
Join Snowflake, Squadron Data, and Sigma for a hands-on lab where speed meets data. Take the wheel alongside us as we go full throttle — building an OpenFlow pipeline that streams simulated racing telemetry into Snowflake in real time, then handing the controls to Sigma to turn that data into stunning dashboards fast enough to keep up with the race itself.
This isn’t a slide deck. This is a live engine at full RPM. You’ll leave with practical skills, a repeatable framework, and a clear picture of what modern streaming analytics looks like when it’s built right.
Ready to take the wheel? Don’t let your insights get stuck in the garage while the competition is on the track. Your data is in a hurry, it has to go, go, go—like a Ferrari pit stop on the final lap.
Why Attend:
- See a complete, modern data stack run live, ingestion through dashboards in a single session
- Learn Openflow from engineers who have deployed it in production environments
- Experience Sigma’s speed firsthand with dashboards that update faster than a pit stop
- Network with Miami’s leading data engineers, architects, and analytics professionals
- Get proven architecture frameworks you can apply to your own Snowflake environment immediately
- Gain hands-on lab experience with guided exercises and take-home resources
What’s Included:
- Hands-on lab experience with guided exercises
- Expert presentations and live demos
- Networking reception with refreshments
- Open Q&A with Snowflake, Squadron Data, and Sigma teams
Lab Prerequisites:
- Laptop charged
- Basic Python, SQL
- Snowflake account (if you don’t have one, we will create one for you)
Following the HOL there will be a User Group session from 6:30 – 8:00 PM – you are welcome to come in and out between the events OR stay for both.
Agenda
4:00 PM – 4:15 PM | Welcome
4:15 PM – 6:00 PM | Lab Kick-Off
6:00 PM – 6:30 PM | Wrap Up & Networking
Speakers
-
Stephen King
Solution Engineering Director
Squadron Data, Inc. -
Chelsea Mayer
Sales Engineer
Sigma -
Vlaunir Da Silva
Senior Solution Engineer
Snowflake -
Sarju Patel
Senior Solution Engineer
Snowflake -
In Partnership With
Data moves fast. In Formula 1, milliseconds decide championships and your analytics pipeline should be no different!
Join Snowflake, Squadron Data, and Sigma for a hands-on lab where speed meets data. Take the wheel alongside us as we go full throttle — building an OpenFlow pipeline that streams simulated racing telemetry into Snowflake in real time, then handing the controls to Sigma to turn that data into stunning dashboards fast enough to keep up with the race itself.
This isn’t a slide deck. This is a live engine at full RPM. You’ll leave with practical skills, a repeatable framework, and a clear picture of what modern streaming analytics looks like when it’s built right.
Ready to take the wheel? Don’t let your insights get stuck in the garage while the competition is on the track. Your data is in a hurry, it has to go, go, go—like a Ferrari pit stop on the final lap.
Why Attend:
- See a complete, modern data stack run live, ingestion through dashboards in a single session
- Learn Openflow from engineers who have deployed it in production environments
- Experience Sigma’s speed firsthand with dashboards that update faster than a pit stop
- Network with Miami’s leading data engineers, architects, and analytics professionals
- Get proven architecture frameworks you can apply to your own Snowflake environment immediately
- Gain hands-on lab experience with guided exercises and take-home resources
What’s Included:
- Hands-on lab experience with guided exercises
- Expert presentations and live demos
- Networking reception with refreshments
- Open Q&A with Snowflake, Squadron Data, and Sigma teams
Lab Prerequisites:
- Laptop charged
- Basic Python, SQL
- Snowflake account (if you don’t have one, we will create one for you)
Following the HOL there will be a User Group session from 6:30 – 8:00 PM – you are welcome to come in and out between the events OR stay for both.
Agenda
4:00 PM – 4:15 PM | Welcome
4:15 PM – 6:00 PM | Lab Kick-Off
6:00 PM – 6:30 PM | Wrap Up & Networking
SAVE YOUR SPOT!
Date: April 2, 2026
Time: 4:00 PM ET