Creating Branching Data Streams in Flink | Flink with Java скачать в хорошем качестве

Creating Branching Data Streams in Flink | Flink with Java

► TRY THIS YOURSELF: https://cnfl.io/flink-java-apps-module-1 When building datastreams you start with a source, apply a series of operations, and eventually send the data to a sink. This creates a linear pipeline. But what if you want to introduce branches? Flink streams can include both fan-in and fan-out style branch points. This includes unions, connectors, side-outputs, and more. In this video, we'll introduce the different types of branches and how to implement them in Java. For a complete IMMERSIVE HANDS-ON EXPERIENCE: https://cnfl.io/flink-java-apps-module-1 -- ABOUT CONFLUENT Confluent is pioneering a fundamentally new category of data infrastructure focused on data in motion. Confluent’s cloud-native offering is the foundational platform for data in motion – designed to be the intelligent connective tissue enabling real-time data, from multiple sources, to constantly stream across the organization. With Confluent, organizations can meet the new business imperative of delivering rich, digital front-end customer experiences and transitioning to sophisticated, real-time, software-driven backend operations. To learn more, please visit www.confluent.io. #flink #java #streamprocessing #confluent