Arrow back icon

Resource Center

Workshop: Using Snowflake Dynamic tables with dbt

Workshop: Using Snowflake Dynamic tables with dbt
Calendar icon representing scheduling or date selection
White clock icon representing time
map icon
RSVP NOW
Blue regular calendar icon representing a schedule or date picker

Are you attending?
Let´s meet.

BOOK A MEETING
Calendar icon representing scheduling or date selection
map icon

Overview

What you will learn

In Datacoves’ first live workshop, we explored how Snowflake Dynamic Tables can be used within a dbt-powered analytics workflow to simplify data transformations and improve data freshness.

During this 45-minute session, we covered practical patterns for incorporating Dynamic Tables into existing dbt + Snowflake environments, with a focus on reducing operational overhead while maintaining performance and reliability.

Key Takeaways

  • The differences between Snowflake Standard Tables and Dynamic Tables, and when to use each
  • How Dynamic Tables fit into dbt projects and typical transformation workflows
  • A high-level overview of dbt, Snowflake, and Streamlit working together
  • Real-world examples showing how Dynamic Tables can simplify transformation logic
  • Techniques for optimizing data freshness and performance using Dynamic Tables

Who This Was Most Relevant For

  • Data and analytics engineers working in dbt + Snowflake environments
  • BI developers and data architects designing modern analytics platforms
  • Teams evaluating Dynamic Tables as part of a modern data stack

The session highlighted how Dynamic Tables can help teams streamline transformations, reduce maintenance effort, and deliver fresher data with less complexity.

Calendar icon representing scheduling or date selection
map icon

Speakers

Testimonial photo
Noel Gomez
Datacoves Co-founder | 15+ Data Platform Expert
Testimonial photo
Chris Jenkins
Chris has over 10 years of experience in data, including 7 years as a leader in the Analyst Community at Trustpower, and 5 years designing and building modern data platforms for a range of New Zealand organizations. As an early adopter of Snowflake and dbt, and an advocate for a modular, capability-based approach, Chris believes in learning broadly and applying technology specifically to drive only the change that matters.