Modern data environments require architectures that seamlessly blend the flexibility of data lakes with the performance characteristics of traditional data warehouses. As enterprises increasingly adopt real-time analytics to drive business decisions, the combination of
#ApacheFlink as a stream processing engine with
#ApachePaimon as a lake storage format has emerged as a compelling solution for building powerful real-time lakehouse platforms.
At the Apache CommunityOverCode Asia 2025, Xuannan Su, Alibaba Cloud Technical Expert and Apache Flink Committer, shared profound insights into the continuous evolution of Flink real-time lakehouse solutions built on Paimon. This technical deep-dive explores key optimizations and architectural improvements developed to address real-world challenges encountered in implementing large-scale streaming analytics platforms.
As the volume of structured and semi-structured data grows, traditional data processing approaches often struggle with performance, cost-efficiency, and operational complexity. The discussed enhancements represent production-tested, practical solutions for organizations seeking to modernize their data infrastructure, providing a clear implementation path for scalable, real-time data pipelines.
Dive into the full blog to learn more about these cutting-edge solutions!
alibabacloud.com/blog/real-t…
#ApacheFlink #ApachePaimon #RealTimeAnalytics #DataLakehouse #FlinkForward #AI