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In this session hosted by Starburst, we delve into the emerging practice of data contracts—a foundational shift in how modern data teams ensure trust, quality, and accountability throughout the data lifecycle. From schema enforcement and semantic validation to stream processing and cross-team collaboration, this session explores how data professionals can use contracts to bridge the gap between data producers and consumers, especially as pipelines scale and data becomes more mission-critical. Learn why conventional approaches to data quality often fall short, and how embedding data contracts into your workflows can prevent costly downstream failures, eliminate ambiguity, and enable more stable, production-grade data products. You'll also hear about real-world challenges, trade-offs, and implementation strategies that make this not just a theoretical concept, but an achievable best practice—even at companies dealing with frequent change and complex infrastructure. Whether you're a data engineer, analytics leader, or platform architect, this conversation offers a practical framework for improving data reliability, managing change, and supporting both agility and governance in your modern data stack. #DataContracts #DataQuality #DataGovernance #ModernDataStack #DataEngineering #DataOps #DataProducts #MLops #StreamingData #StarburstData #DataInfrastructure #AnalyticsEngineering