As the most popular and widely adopted stream processing framework, Apache Flink powers some of the world's largest stream processing use cases in companies like Netflix, Alibaba, Uber, Lyft, Pinterest, Yelp , etc.
In this talk, we will first go over use cases and basic (yet hard to achieve!) requirements of stream processing, and how Flink stands out with some of its unique core building blocks, like pipelined execution, native event time support, state support, and fault tolerance.
We will then take a look at how Flink is going beyond stream processing into areas like unified streaming/batch data processing, enterprise intergration with Hive, AI/machine learning, and serverless computation, how Flink fits with its distinct value, and what development is going on in Flink community to gap.
