Stream Processing with Apache Flink

Book Description

Get started with Apache Flink, the framework that powers some of the world’s largest stream applications. With this practical book, you’ll explore the fundamental concepts of parallel stream and discover how this technology differs from traditional batch data .

Longtime Apache Flink committers Fabian Hueske and Vasia Kalavri show you how to implement scalable streaming applications with Flink’s DataStream API and continuously run and maintain these applications in operational environments. Stream processing is ideal for many use cases, including low-latency ETL, streaming , and real-time dashboards as well as fraud detection, anomaly detection, and alerting. You can process continuous data of any kind, including user interactions, financial transactions, and IoT data, as soon as you generate them.

  • Learn concepts and challenges of distributed stateful stream processing
  • Explore Flink’s system , including its event-time processing mode and fault-tolerance model
  • Understand the and building blocks of the DataStream API, including its time-based and statefuloperators
  • Read data from and write data to external with exactly-once consistency
  • Deploy and configure Flink clusters
  • Operate continuously running streaming applications

Book Details

  • Title: Stream Processing with Apache Flink
  • Author: ,
  • Length: 310 pages
  • Edition: 1
  • Language: English
  • Publisher:
  • Publication Date: 2019-04-21
  • ISBN-10: 149197429X
  • ISBN-13: 9781491974292