Welcome, Coalesce attendee!
Prefect is the orchestration layer that makes your dbt projects production-ready, turning your innovations into reliable, scalable data products.
Why Prefect is Important for You
Prefect can trigger dbt jobs the moment new data arrives, ensuring your pipelines are always up to date.
Prefect handles scaling your compute resources for you, turning them on and off as needed. No more wasted money on idle compute and storage.
Your data analysts and analytics engineers can deploy their own pipelines without having to become infrastructure experts.
See every dbt model and source as a Prefect task to pinpoint failures. Prefect also provides automatic asset lineage, giving you a graph of everything dbt produces.
Prefect’s Python SDK bridges the gap between your dbt transformations and the modern AI/ML ecosystem. Easily integrate with tools like OpenAI to extract insights from unstructured data.
The Prefect platform is designed for quick setup, helping you deploy workflows with a single command. Teams have sped up engineer onboarding by over 50%.
Prefect + dbt: The Standard for Analytics Engineering
Vishal Kella, a staff engineer at Rent the Runway, discusses how his team uses Prefect and dbt to manage data operations. In the conversation below, he shares a powerful, real-world case study on how RTR orchestrates approximately 1,800 dbt models with a single parameterized flow.
Interested in Learning More? Check Out the Resources Below
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