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 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.
May 28, 2026
Snowflake Runs Your Data: Dagster Runs Everything Else
Snowflake increasingly handles transformation and data freshness internally through features like Dynamic Tables and Cortex. Dagster complements Snowflake by providing orchestration, lineage, automation, and cost visibility across your broader data platform from SQL-defined assets to downstream automation and Snowflake query attribution.
May 21, 2026
We Tried ty for Performance. It Found Real Bugs
We adopted Astral’s new Python type checker, ty, to speed up type checking in the Dagster monorepo. The performance gains were dramatic, but the bigger surprise was that ty caught real runtime bugs Pyright missed. Here’s what we learned migrating a large Python codebase incrementally to ty.
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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