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Learn the fundamental concepts, design patterns, modeling strategies, and data quality practices behind a modern data platform.

Learn the fundamental concepts, design patterns, modeling strategies, and data quality practices behind a modern data platform.

Learn how to build a unified control plane that enables AI-driven development, reduces pipeline failures, and cuts complexity.

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Define the outcome, not the orchestration. Declarative Automation lets you express your desired asset state while Dagster continuously handles the work needed to achieve it.

Some of the most interesting Dagster projects come from the community. This post highlights creative community-built applications.

I built a tiered AI classification system, human review workflow, and the Dagster orchestration that ties it all together in production in nine days.

A letter from Nick Schrock, founder and creator of Dagster.

Some of the most interesting Dagster projects come from the community. This post highlights creative community-built applications.

A complete guide with insights, tips, and predictions for the data platform engineer, with practical information for daily life.

The Orchestration Maturity Model explains the architectural ceiling of job-centric systems and how Dagster’s asset-aware approach helps teams reason about freshness, lineage, quality, and self-service.

Some of the most interesting Dagster projects come from the community. This post highlights creative community-built applications.

Brooklyn Data explains how it evaluated Compass, deployed it on top of Snowflake, and enabled teams to answer operational questions directly in Slack.