Accelerating Data Teams with dbt labs and Snowflake

Partnered with

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 data pipelines in Python.

Agenda

09:30 – Welcome Note from Snowflake & dbt labs
09:40 – Snowpark and dbt overview
10:10 – Hands-On Lab
12:00 – Wrap up
12:10 – Lunch and networking
13:00 – Close

Location

Gleisarena FFHS Campus Zürich, Zollstrasse 17, 8005 Zürich (Google Maps)
Room “Einstein”