A friendly, framework-agnostic tutorial that will help you grok how streaming systems work—and how to build your own!In Grokking Streaming Systems you will learn how to:Implement and troubleshoot streaming systemsDesign streaming systems for complex functionalitiesAssess parallelization requirementsSpot networking bottlenecks and resolve back pressureGroup data for high-performance systemsHandle delayed events in real-time systemsGrokking Streaming Systems is a simple guide to the complex concepts behind streaming systems. This friendly and framework-agnostic tutorial teaches you how to handle real-time events, and even design and build your own streaming job that’s a perfect fit for your needs. Each new idea is carefully explained with diagrams, clear examples, and fun dialogue between perplexed personalities!About the technologyStreaming systems minimize the time between receiving and processing event data, so they can deliver responses in real time. For applications in finance, security, and IoT where milliseconds matter, streaming systems are a requirement. And streaming is hot! Skills on platforms like Spark, Heron, and Kafka are in high demand.About the bookGrokking Streaming Systems introduces real-time event streaming applications in clear, reader-friendly language. This engaging book illuminates core concepts like data parallelization, event windows, and backpressure without getting bogged down in framework-specific details. As you go, you’ll build your own simple streaming tool from the ground up to make sure all the ideas and techniques stick. The helpful and entertaining illustrations make streaming systems come alive as you tackle relevant examples like real-time credit card fraud detection and monitoring IoT services.What's insideImplement and troubleshoot streaming systemsDesign streaming systems for complex functionalitiesSpot networking bottlenecks and resolve backpressureGroup data for high-performance systemsAbout the readerNo prior experience with streaming systems is assumed. Examples in Java.About the authorJosh Fischer is an Apache Committer, and part of the project management committee for the Apache Heron distributed stream processing engine. Josh is a software engineer at Scotcro and has worked with moving large datasets in real time for organizations such as 1904labs and Bayer.Ning Wang is an Apache Committer, and part of the project management committee for the Apache Heron distributed stream processing engine. Ning is also a software engineer at Amplitude building real-time data pipelines. He was a key contributor of Apache Heron in Twitter’s Real-time Compute team. Table of ContentsPART 1 GETTING STARTED WITH STREAMING1 Welcome to Grokking Streaming Systems2 Hello, streaming systems!3 Parallelization and data grouping4 Stream graph5 Delivery semantics6 Streaming systems review and a glimpse aheadPART 2 STEPPING UP7 Windowed computations8 Join operations9 Backpressure10 Stateful computation11 Wrap-up: Advanced concepts in streaming systems