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Learn about Flex, a unified stream and batch vectorized engine, in this 19-minute conference talk from The ASF's Streaming Track. Discover how this innovative engine addresses the challenges of processing both streaming and batch data through a single, vectorized architecture. Explore the technical design principles behind Flex's unified approach, understand how vectorization enhances performance for both real-time streaming and batch processing workloads, and examine practical implementation strategies for building scalable data processing systems. Gain insights into the architectural decisions that enable seamless switching between stream and batch modes while maintaining optimal performance through vectorized execution. The presentation covers the engine's core components, performance optimizations, and real-world applications in distributed computing environments.
