Resources
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
Blogs
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.
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.
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June 24, 2025
How easyJet Holidays Achieved 15x Faster Data Pipelines with Dagster
easyJet Holidays achieved 15x faster data pipeline execution by migrating from a fragmented AWS stack to Dagster's unified data orchestration platform. The transformation reduced pipeline runtime from 2.5 hours to 10 minutes, eliminated manual troubleshooting overhead, and democratized analytics by enabling analysts to contribute through pull requests. Learn how they built a self-healing, observable data platform with end-to-end visibility.
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June 17, 2025
How US Foods Eliminated Data Silos and Achieved Near-Perfect Reliability with Dagster
See how US Foods transformed their chaotic data infrastructure into a reliable, scalable platform using Dagster. This Fortune 500 case study reveals how they achieved 99.996% uptime, eliminated data silos, and built a self-service platform that supports $24B in annual operations.
Case Studies
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.
June 24, 2025
How easyJet Holidays Achieved 15x Faster Data Pipelines with Dagster
easyJet Holidays achieved 15x faster data pipeline execution by migrating from a fragmented AWS stack to Dagster's unified data orchestration platform. The transformation reduced pipeline runtime from 2.5 hours to 10 minutes, eliminated manual troubleshooting overhead, and democratized analytics by enabling analysts to contribute through pull requests. Learn how they built a self-healing, observable data platform with end-to-end visibility.
June 17, 2025
How US Foods Eliminated Data Silos and Achieved Near-Perfect Reliability with Dagster
See how US Foods transformed their chaotic data infrastructure into a reliable, scalable platform using Dagster. This Fortune 500 case study reveals how they achieved 99.996% uptime, eliminated data silos, and built a self-service platform that supports $24B in annual operations.
June 3, 2025
Big Cartel Brought Fragmented Data into a Unified Control Plane with Dagster
Within six months, Big Cartel went from "waiting for dashboards to break" to proactive monitoring through their custom "Data Firehose," eliminated inconsistent business metrics that varied "depending on the day you asked," and built a foundation that scales from internal analytics to customer-facing data products.
Dagster University
Learn how to leverage Dagster and build scalable, production-ready data platforms with ease.
In this course, learn the basics of Dagster, including how to represent a data pipeline as the data assets it produces and orchestrate a pipeline with Dagster.
