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 writings
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June 9, 2026
How to Make the Architectural Case for Dagster
Mature orchestration environments often work operationally while still leaving critical data dependencies implicit. This post introduces the Orchestration Maturity Model, explains the architectural ceiling of job-centric systems, and shows how Dagster’s asset-aware approach helps teams reason about freshness, lineage, quality, and self-service at enterprise scale.
June 3, 2026
Community Showcase Part 1
Some of the most interesting Dagster projects come from the community. This post highlights creative community-built applications ranging from public data exploration and infrastructure monitoring to research automation and internal tooling, along with why their creators chose Dagster and what building with it was like.
June 1, 2026
How Dagster Compass Powers Brooklyn Data’s Self-Service Analytics
Text-to-analytics promises self-service access to data, but adoption depends on usability, governance, and trust. In this guest post, Brooklyn Data explains how it evaluated Compass, deployed it on top of Snowflake, and enabled teams to answer operational questions directly in Slack while maintaining centralized governance and business context.
February 25, 2026
How Magenta Telekom Built the Unsinkable Data Platform
Magenta Telekom rebuilt its data infrastructure from the ground up with Dagster, cutting developer onboarding from months to a single day and eliminating the shadow IT and manual workflows that had long slowed the business down.
November 18, 2025
Zero Incidents, Maximum Velocity: How HIVED achieved 99.9% pipeline reliability with Dagster
UK logistics company HIVED achieved 99.9% pipeline reliability with zero data incidents over three years by replacing cron-based workflows with Dagster's unified orchestration platform.
January 15, 2026
Modernize Your Data Platform for the Age of AI
While 75% of enterprises experiment with AI, traditional data platforms are becoming the biggest bottleneck. Learn how to build a unified control plane that enables AI-driven development, reduces pipeline failures, and cuts complexity.
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