Flink Power Chat 2: Top 5 Advanced Stream Processing Concepts In Apache Flink

As the sheer enormity of enterprise data explodes with the infinite trickle of information from thousands of endpoints, data streams become unbounded. This poses significant challenges to traditional analytic engines that are used to finite data sets with defined time boundaries. Apache Flink rises above other stream processing engines with its ability to process real-time streaming data with low-latency. 

Listen to this on demand webinar, led by Dinesh Chandrasekhar and Simon Elliston Ball, to hear them talk about:

  • Advanced stream processing concepts in Apache Flink

    • Windowing, watermarking, late arrivals

    • Aggregation

    • Events, patterns, complex events

  • Discussion about other stream processing engines

  • Use case driven comparison of Flink with the other engines

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