As data processing becomes more real time, stream processing is becoming more important. Apache Flink makes it easier to build and manage stream processing applications. Flink’s new SQL interface is a great way to get started with Flink—and to build and maintain production applications.
Fabian Hueske offers an overview of Apache Flink via the SQL interface, covering stream processing and Flink’s various modes of use. Then you’ll use Flink to run SQL queries on data streams and contrast this with the Flink DataStream API.
Fabian Hueske is a committer and PMC member of the Apache Flink project. He was one of the three original authors of the Stratosphere research system, from which Apache Flink was forked in 2014. Fabian is a cofounder of Ververica, a Berlin-based startup devoted to fostering Flink, where he works as a software engineer and contributes to Apache Flink. He holds a PhD in computer science from TU Berlin and is currently spending a lot of his time writing a book, Stream Processing with Apache Flink.
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