April 2019
Beginner to intermediate
308 pages
8h 31m
English
Content preview from Stream Processing with Apache Flink
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Chapter 1. Introduction to Stateful Stream Processing
Apache Flink is a distributed stream processor with intuitive and expressive APIs to implement stateful stream processing applications. It efficiently runs such applications at large scale in a fault-tolerant manner. Flink joined the Apache Software Foundation as an incubating project in April 2014 and became a top-level project in January 2015. Since its beginning, Flink has had a very active and continuously growing community of users and contributors. To date, more than five hundred individuals have contributed to Flink, and it has evolved into one of the most sophisticated open source stream processing engines as proven by its widespread adoption. Flink powers large-scale, business-critical applications in many companies and enterprises across different industries and around the globe.
Stream processing technology is becoming more and more popular with companies big and small because it provides superior solutions for many established use cases such as data analytics, ETL, and transactional applications, but also facilitates novel applications, software architectures, and business opportunities. In this chapter, we discuss why stateful stream processing is becoming so popular and assess its potential. We start by reviewing conventional data application architectures and point out their limitations. Next, we introduce application designs based on stateful stream processing that exhibit many interesting characteristics and ...
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