Why can Apache Flink be considered the best choice for processing data streaming? Dawid Wysakowicz [DW]: One reason is that it addresses all streaming use cases: bounded stream – aka batch, streaming analytics, event-driven applications, etc. It also has the best of class support for state management and event time. It is also industry proven as it runs at Netflix-scale. In contrast to other open-source stream processors, Flink provides not only true stream processing at the event granularity, i.e., no micro batching, but also handles many batch use cases very well. What are the main directions of Flink development? DW: Right now
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