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Learn about Apache Flink's stream processing capabilities from a Python developer's perspective in this 14-minute conference talk from OSACon. Explore how PyFlink enables Python developers to build sophisticated stream processing jobs without Java knowledge. Discover the PyFlink Table APIs and User Defined Functions (UDFs), understanding how Python Domain Specific Languages (DSLs) can implement complex stream processing techniques like windowing and event time semantics. Master the integration between PyFlink Table API and Flink SQL for developing streaming pipelines, and watch a demonstration of PyFlink ingesting real-time data from Kafka while processing streams using Table API DSLs.
