Creating dbt Data Pipelines with Dagen AI

Let’s start creating a data pipeline on Dagen AI. In this example, we will create an end-to-end dbt data pipeline instantly using the chat interface on Dagen with just a statement of your intent.

Dagen AI agents create the dbt project and set up the requisite configuration while simultaneously generate production-ready staging models with appropriate materialization settings, tags, schema definitions and metadata. Fact and dimension tables along with data quality tests are created automatically.

Get a comprehensive view and an audit trail of your data pipeline easily on Dagen - access the DAG view with dependency graphs, file structures, data models, and full data pipeline execution logs.

This is Part 6 of the Dagen AI Onboarding Series. You can find links to the previous videos or get the full playlist here:
Part 1 - Getting Started with Dagen AI: https://youtu.be/sBlwzNaU2G4
Part 2 - Configuring Your LLM Model: https://youtu.be/XLwDMWC4Mc0
Part 3 - Connecting Data Sources and Targets: https://youtu.be/gQANX1FwU7I
Part 4 - Connecting to Github and VS Code: https://youtu.be/MVIjriSkqRg
Part 5 - Data Ingestion with Dagen AI: https://youtu.be/dlJ7g2Ur0l4
Dagen Academy Onboarding Series Playlist: https://www.youtube.com/playlist?list=PLwVwH01Et65if7IaWn6b-ZQQmi6WhE7cB

Dagen AI is the next generation AI workspace for data engineers. Dagen helps you create self-healing data pipelines using natural language. Get from intent to production-ready data pipelines in minutes, not weeks. Dagen works alongside your existing tech stack - no rip-and-replace!

Learn more about Dagen here → https://www.dagen.ai

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