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Explore how the Ursa Engine revolutionizes data lakehouse architectures by providing Kafka-API-compatible streaming capabilities in this 41-minute conference talk from Databricks. Learn how this innovative engine seamlessly integrates with existing lakehouse infrastructures built on Iceberg and Delta Lake, enabling organizations to unify streaming and batch processing while maintaining compatibility with current tools and workflows. Discover the architectural foundations of Ursa Engine and understand how it addresses the growing demands of real-time GenAI applications by extending lakehouse capabilities with streaming ingestion, transformation, and processing through a familiar Kafka-compatible interface. Gain insights into real-world implementation scenarios and use cases that demonstrate how Ursa Engine can modernize legacy systems and support cutting-edge AI-driven applications. Understand the strategic advantages of augmenting your data lakehouse with streaming capabilities without sacrificing existing investments or requiring extensive system overhauls. Whether you're working on data architecture modernization or building next-generation AI applications, discover practical approaches to unlocking your data's full potential through unified streaming and batch processing capabilities.
