Download the e-book primer on how to build data platforms

Learn the fundamental concepts to build a data platform in your organization; covering common design patterns for data ingestion and transformation, data modeling strategies, and data quality tips.

Tips and tricks for data modeling and data ingestion patterns

Explore the benefits of an observation layer across your data pipelines

Learn the key strategies for ensuring data quality for your organization

Latest posts

Great Infrastructure Needs Great Stories: Designing our Children’s Book

February 5, 2026

Great Infrastructure Needs Great Stories: Designing our Children’s Book

We set out to explain Dagster assets in the simplest possible way: as living characters that wait, react, and change with their dependencies. By designing a children’s book with warmth, visuals, and motion, we rediscovered what makes assets compelling in the first place.

Closing the DataOps Loop: Why We Built Compass for Dagster+

February 3, 2026

Closing the DataOps Loop: Why We Built Compass for Dagster+

Detection isn't the bottleneck anymore. Understanding is. Compass closes the loop by turning Dagster+ operational data into a conversation.

Pytest for Agent-Generated Code: Concrete Testing Strategies to Put Into Practice

January 26, 2026

Pytest for Agent-Generated Code: Concrete Testing Strategies to Put Into Practice

When agents write tests, intent matters as much as correctness. By defining clear testing levels, preferred patterns, and explicit anti-patterns, we give agents the structure they need to produce fast, reliable Pytest suites that scale with automation.