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Learn about Apache Fluss, a streaming storage solution designed for real-time lakehouse architectures, in this seminar presentation from the CMU Database Group's Future Data Systems series. Explore how this Apache project addresses the challenges of building real-time data lakehouses by providing a unified storage layer that supports both streaming and batch workloads. Discover the technical architecture, design principles, and implementation details of Fluss as a streaming storage system that enables low-latency data ingestion and query processing. Understand how this technology fits into the modern data stack and its role in bridging the gap between traditional data lakes and real-time analytics requirements. Gain insights into the performance characteristics, scalability considerations, and use cases where Apache Fluss can provide significant advantages for organizations building real-time data platforms.
