ENGLISH

Stream Processing with Apache Flink: Fundamentals, Implementation, and Operation of Streaming Applications

By Fabian Hueske , Vasiliki Kalavri

Book information

Publisher
O'Reilly Media
Year
2019
ISBN
149197429X, 9781491974292
Language
english
Format
PDF
Filesize
10 MB (10182829 bytes)
Edition
1
Pages
310\534
Time added
2020-10-08 11:03:39

Description

Get started with Apache Flink, the open source framework that powers some of the world’s largest stream processing applications. With this practical book, you’ll explore the fundamental concepts of parallel stream processing and discover how this technology differs from traditional batch data processing. 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 analytics, 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 processingExplore Flink’s system architecture, including its event-time processing mode and fault-tolerance modelUnderstand the fundamentals and building blocks of the DataStream API, including its time-based and statefuloperatorsRead data from and write data to external systems with exactly-once consistencyDeploy and configure Flink clustersOperate continuously running streaming applications

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