Case Study: How Petal Incrementally Adopted a Data Orchestrator

Petal, a FinTech firm, adopted Dagster as a data orchestrator to incrementally improve their data operations. Initially, they retained parts of their existing pipeline and adapted them to work with Dagster. The team is building out the constructs and plans to adopt more capabilities over time. Petal also uses dbt Core for data transformation and has integrated Dagster with dbt for scheduling and collaboration. By adopting Dagster, Petal aims to streamline their pipeline, derive value from event-based triggering, and create a dependency graph. The company's goal is to provide a modern data-centric tool for more context-aware orchestration.

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