A friendly, framework-agnostic tutorial that will help you grok how streaming systems work—and how to build your own! \n \nIn Grokking Streaming Systems you will learn how to: \n \nImplement and troubleshoot streaming systems \nDesign streaming systems for complex functionalities \nAssess parallelization requirements \nSpot networking bottlenecks and resolve back pressure \nGroup data for high-performance systems \nHandle delayed events in real-time systems \n \nGrokking 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! \n \nAbout the technology \nStreaming 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. \n \nAbout the book \nGrokking 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. \n \nWhat's inside \n \nImplement and troubleshoot streaming systems \nDesign streaming systems for complex functionalities \nSpot networking bottlenecks and resolve backpressure \nGroup data for high-performance systems \n \nAbout the reader \nNo prior experience with streaming systems is assumed. Examples in Java. \n \nAbout the author \nJosh Fischer and Ning Wang are Apache Committers, and part of the committee for the Apache Heron distributed stream processing engine.

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