Get Two Free Chapters Of Stream Processing with Apache Flink

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.

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About This Book

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:

• Solve real-world problems with Apache Flink’s DataStream API
• Set up an environment for developing stream processing applications for Flink
• Design streaming applications and migrate periodic batch workloads to continuous streaming workloads
• Learn about windowed operations that process groups of records
• Ingest data streams into a DataStream application and emit a result stream into different storage systems
• Implement stateful and custom operators common in stream processing applications
• Operate, maintain, and update continuously running Flink streaming applications
• Explore several deployment options, including the setup of highly available installations

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Helpful Resources

• Explore: Lightbend Fast Data Platform: A Guided Way To Manage Data In Motion For Streaming Applications
• Watch: How To Select The Right Streaming Technologies For Data Sets That Never End
• Browse: Fast Data Revealed: 7 Lightbend Resources For Spark, Mesos, Akka, Cassandra and Kafka Adopters

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 :) 

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