Due to high demand we closed registrations for this event.

Modern businesses need modern data strategies built on platforms that support agility, growth, and operational efficiency. Using dbt with Snowflake, data teams can quickly and collaboratively deploy analytics code following software engineering best practices like modularity, portability, CI/CD, and documentation.

In this bootcamp, you’ll learn about how Snowpark for Python is enabling data teams to simplify their data stack and get more done with less – you can now run Python code directly in Snowflake, without many of the pains often associated with Python development. We’ll then get stuck into a hands-on lab where you will create data transformation pipelines using dbt, Snowflake SQL, and Snowpark. To make it fun, we’ll be using Formula 1 data. We’ll show you the analytics engineering way to use SQL versus Python for data transformations, apply data quality tests, document, and deploy to get you ready for ML workflows.

Come and learn from our experts how you can use dbt to develop date pipelines in Python.


09:30 – Welcome & Registration
10:00 – Welcome Note from Snowflake & dbt labs
10:10 – Snowpark and dbt overview
10:45 – Hands-On Lab
12:30 – Wrap up
12:45 – Lunch and networking
13:45 – Optimizing Snowflake with dbt
14:45 – Close


  • Olivier Slavenburg

    District Manager Benelux, Snowflake

  • Ivan Sobina

    Sales Director, dbt Labs

  • Ernesto Ongaro

    Solutions Architect, dbt Labs

  • Tatiana Petrache

    Solutions Engineer, Snowflake

  • Dmytro Yaroshenko

    Principal Architect, Data Engineering, Field CTO Office, Snowflake

Partnered with

Thursday 23rd September 2023
09:30 – 14:45