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Discover battle-tested streaming data design patterns that bridge the gap between basic tutorials and bulletproof production systems in this comprehensive webinar. Learn from industry experts Bartosz Konieczny and Scott Haines as they share hard-earned lessons about building mission-critical streaming systems that run reliably for years. Explore critical decision-making frameworks for selecting processing engines that won't leave you stranded, evolving data formats without breaking downstream dependencies, and choosing between Iceberg, Hudi, or Delta Lake for your specific use case. Master advanced Protobuf techniques that go beyond basic serialization to serve as insurance against breaking changes, while discovering how Protovalidate can catch problematic data before it contaminates your entire downstream ecosystem. Gain practical insights into real-world data value generation patterns for both Spark and Flink that have proven successful in production environments. Understand how implementing broker-side validation for Kafka and zero-ETL Iceberg generation can eliminate entire categories of system failures while reducing operational costs and development time. Walk away with actionable knowledge and proven strategies to transform streaming prototypes into robust, mission-critical systems capable of handling enterprise-scale demands.
