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Rethinking Flink’s APIs for a Unified Data Processing Framework
Since its very early days, Apache Flink has followed the philosophy of taking a unified approach to batch and streaming. The core building block is the “continuous processing of unbounded data streams, with batch as a special, bounded set of those streams.” Recent updates to the Flink APIs include architectural designs by the community to support batch and streaming unification in Apache Flink.