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

Annoucing ETL Course with Dagster

July 10, 2025

Annoucing ETL Course with Dagster

Dagster is excited to announce the launch of ETL with Dagster, a comprehensive seven-lesson course. This free course guides you through practical ETL implementation and architectural considerations, from single-file ingestion to full-scale database replication

How Clippd Built Organization-Wide Data Visibility and Saved 8+ Hours Per Week

July 8, 2025

How Clippd Built Organization-Wide Data Visibility and Saved 8+ Hours Per Week

Clippd eliminated 8+ hours of weekly manual data operations and transformed from black-box pipelines to organization-wide data visibility with Dagster. The golf analytics platform now automatically processes data for 200+ college golf programs while democratizing access across their entire team.

From scattered scripts to unified platform: How Dagster powers data decisions for 4.5 million Belgian citizens

July 1, 2025

From scattered scripts to unified platform: How Dagster powers data decisions for 4.5 million Belgian citizens

Belgium's Fédération Wallonie-Bruxelles serves 4.5 million citizens, but their legacy data systems were creating operational chaos—manual processes taking months and zero pipeline visibility. Data engineer Martin Erpicum transformed their platform with Dagster, delivering 2x faster pipeline delivery and shifting from reactive maintenance to proactive data product development.