As data architectures shift toward real-time analytics and AI, the ability to stream data directly into open Lakehouse storage has become a defining advantage. In this session, learn how StreamNative’s Classic Engine and Ursa enable high-throughput, real-time ingestion into Apache Iceberg and other open table formats—without the need for heavy connectors or redundant pipelines.
You’ll see how StreamNative’s Lakehouse-first architecture connects Pulsar topics directly to the Lakehouse, reducing duplication, simplifying governance, and making data instantly available for analytical and AI workloads.
Key topics covered include:
- How the Classic Engine + Ursa pipeline bridges streaming and Lakehouse storage seamlessly
- Strategies to eliminate silos with a single, governed data copy
- Performing streaming transformations and data quality control at ingestion
- REST Catalog integration for streamlined table governance
- Table maintenance and compaction techniques for faster queries
- Building observability and monitoring for production reliability
If you’re building a real-time, cost-efficient, and open Lakehouse architecture, this talk provides a production-proven roadmap to success.
