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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March 12, 2026
Unlocking the Full Value of Your Databricks
Standardizing on Databricks is a smart strategic move, but consolidation alone does not create a working operating model across teams, tools, and downstream systems. By pairing Databricks and Unity Catalog with Dagster, enterprises can add the coordination layer needed for dependency visibility, end-to-end lineage, and faster, more confident delivery at scale.
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.