Flink Data Sources | Flink with Java

► TRY THIS YOURSELF: https://cnfl.io/flink-java-apps-module-1 Introduction to Flink datastream: data sources and the difference between finite and infinite data streams. Every Flink datastream starts with some type of data source (or more). This is the origin of the data. This data may be created programmatically, it may be read from a file or a database, or it may come from a streaming platform such as Apache Kafka. Depending on the nature of the source, the datastream might be finite it might be infinite. Understanding the difference can be important for implementing certain types of operations in the stream. This video will introduce a few different types of sources and discuss the difference between finite and infinite data streams. 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