Coursera Flash Sale
40% Off Coursera Plus for 3 Months!
Grab it
Learn how to implement robust schema management strategies for streaming data architectures in this 28-minute conference talk by Jan Siekierski from Kentra. Explore the critical role of schema governance as operational and analytical systems converge, and discover how to transform traditional data streams into structured, reliable streaming data products that support real-time analytics and AI applications. Master the fundamentals of defining schemas outside of services to achieve consistency and scalability across your data infrastructure. Understand how to implement GitOps workflows for synchronizing schema repositories with production environments, ensuring seamless deployment and version control. Dive into semantic validation techniques using Google CEL to minimize operational overhead and reduce data quality errors. Discover practical approaches for evolving basic data streams into rich, discoverable data products that provide business value. Learn bottom-up adoption strategies that enable teams to implement schema management without requiring organization-wide mandates or extensive top-down coordination. Examine how strong schema foundations enhance Agentic AI systems and improve real-time application performance. Gain actionable insights for building reliable data pipelines, implementing effective data product strategies, and supporting AI-driven systems through proper schema governance and management practices.
