Apache Kafka and Apache Flink together are a winning stack for data analytics that is used by many companies across industries. The two projects complement each other perfectly: Kafka offers a world-class log for event stream storage and transport, while Flink is a powerful system for analytics and applications on top of those event streams.
This talk will demonstrate how to use Kafka and Flink together for ""unified analytics"": Analytics that seamlessly combine processing of real-time data and historic data.
Using SQL as the language for our sample applications, we will walk though various scenarios for unified analytics, such as
The audience will learn how combining real-time and historic data is becoming convenient with the combination of Kafka and Flink.