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A conference talk explores how to effectively process and analyze streaming data at scale using Apache Flink, Apache Hudi, and Presto. Learn about the challenges of data exploration in streaming environments and discover how Apache Hudi's lakehouse platform addresses data mutability and real-time processing needs. Understand the powerful combination of Hudi's Flink integration for streaming data handling and Presto's ANSI SQL capabilities for interactive analysis. Dive into solutions for common challenges in analytics on transactional data systems, explore Hudi's incremental processing capabilities on data lakes, and see how Presto enables ad-hoc queries for data exploration on Flink data streams. Master the techniques for building incremental materialized views using the integration of these three powerful technologies, and gain practical insights into handling evolving data patterns and trends in real-time streaming scenarios.
