Accelerating Data Teams with Snowflake and dbt Hands On Lab

Modern data strategies require platforms that support agility and operational efficiency. Join this free, instructor-led virtual hands-on lab to learn how you can unify the power of the Snowflake Data Cloud with dbt (data build tool).

We will walk you through setting up a complete analytics engineering workflow, applying software development best practices—like version control, modularity, and CI/CD—to your SQL transformations. By the end of this lab, you will have built a production-ready data pipeline that fuels reliable business insights.

What You’ll Learn:

  • Build Pipelines: Create a full-stack data analytics pipeline for retail data.
  • Master dbt: Use Seeds, incremental materializations, and dbt’s git workflow.
  • Establish Data Trust: Implement key dbt capabilities to guarantee data quality.
  • Visualize the Results: Build charts and dashboards in Snowflake’s Snowsight.

What You’ll Get:

  • Hands-on experience in a dedicated lab environment.
  • Reusable templates and best practices for your next dbt project.


Who should attend:

This Virtual Hands-On Lab is designed for individuals who are new to Snowflake, location profiling, or data enrichment. Whether you’re an IT Manager, Data Architect, Engineer, Data Scientist, Administrator, and Developer, this session will equip you with practical skills to confidently work with third-party data in Snowflake Marketplace.


IN COLLABORATION WITH

SAVE YOUR SEAT

Speakers
  • Raymond Cai

    Solutions Engineer
    Snowflake

  • Lee Bond-Kennedy

    Director, Solutions Architecture
    dbt Labs

  • Sin Ta Poon

    Solutions Architect
    dbt Labs