By Fabian Hueske & Vasiliki Kalavri
As our partnership with O'Reilly grows, Lightbend is happy to present you with an exclusive preview edition of "Stream Processing with Apache Flink", Chapters 2 and 3.
Note: This is a Preview Edition of Stream Processing with Apache Flink, Chapters 2 and 3
Get started with Apache Flink, the open source framework that enables you to process streaming data—such as user interactions, sensor data, and machine logs—as it arrives. With this practical guide, you’ll learn how to use Apache Flink’s stream processing APIs to implement, continuously run, and maintain real-world applications.
Authors Fabian Hueske, one of Flink’s initial authors, and post-doctoral researcher, Vasia Kalavri, explain the fundamental concepts of parallel stream processing and shows you how streaming analytics differs from traditional batch data analysis. Software engineers, data engineers, and system administrators will learn the basics of Flink’s DataStream API, including the structure and components of a common Flink streaming application. In this book, you will learn how to:
p.s. Want to learn more about managing datasets that never end? Let us know if it's time to set up a 15-20 minute chat with someone at Lightbend :)