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Robust Data Transformations with dbt Cloud and Snowflake

DEMO

Accelerating Data Teams with Snowflake and dbt Cloud Hands On Lab

In this demo, we’ll explore the power of dbt Cloud in making data pipelines more reliable and deployable. We’ll focus on transforming raw retail data into an organized and business consumable orders model ready for visualization. Utilizing the TPC-H dataset that comes pre loaded with your Snowflake account, we’ll leverage dbt’s transformation workflow to achieve this goal.

By the end of the demo, you’ll have a functional dbt project with automated data lineage, testing, documentation, separate development and production environments, and hands-on experience with the dbt git workflow. It’s an opportunity to enhance your data pipeline robustness and gain valuable skills in working with dbt. Here’s a brief look at some of the things you’ll do:

  • Build and deploy scalable data transformation pipelines using dbt & Snowflake
  • Establish data trust with stakeholders by incorporating key dbt testing capabilities
  • Scale Snowflake compute capabilities with the dbt workflow

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