Ron Liu

Flink 2.1 is the first release following the major Flink 2.0, introducing significant advancements in SQL and AI integration, feature enhancements, and performance optimization. This session will highlight the following features: 1. Seamless integration of Flink SQL and AI Model, exploring how to accomplish real-time AI analysis with Flink. 2. Flink SQL supports the Variant type to improve the efficiency of real-time analysis of semi-structured data in Lakehouse. 3. How Flink SQL addresses the performance bottleneck of multi-streaming join cases, including the introduction of various streaming optimization algorithms, such as delta join and multi-way join, ensuring efficient and scalable stream processing for modern data pipelines. 4. Flink integrates with Lance AI Format, which gives Flink the ability to handle multimodal data, and opens a new journey of AI workload. We hope that attendees will take away something from this session and let Apache Flink help you grow your business!