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Explore the technical evolution and implementation of real-time lakehouse architectures through this 22-minute conference talk that demonstrates how Apache Flink integrates with Apache Paimon to create powerful data processing solutions. Learn from Alibaba Group's expertise as the speaker details the progression of combining stream processing capabilities with lakehouse storage patterns, covering architectural decisions, performance optimizations, and practical implementation strategies for building scalable real-time data platforms. Discover how this technology stack addresses modern data engineering challenges by bridging the gap between traditional data lakes and data warehouses, enabling both batch and streaming workloads on unified storage systems. Gain insights into the technical considerations, design patterns, and best practices for deploying Flink and Paimon in production environments to achieve low-latency data processing while maintaining data consistency and reliability.
