Flex is designed to be a unified engine that supports both stream and batch processing, leveraging vectorization to maximize performance. Its goal is to seamlessly handle diverse data workloads, whether they are real-time streams or batch jobs, with high efficiency and scalability.

Speakers:

Expert in Distributed Computing Engines at Ant Financial, Calcite Committer and Flink Contributor with 10 years of Big Data development experience, focus on Flink/Spark/HBase.