{"product_id":"grokking-streaming-systems-real-time-event-processing-9781617297304","title":"Grokking Streaming Systems: Real-Time Event Processing","description":"\u003cb\u003eA friendly, framework-agnostic tutorial that will help you grok how streaming systems work--and how to build your own!\u003c\/b\u003e \u003cp\u003e\u003c\/p\u003eIn \u003ci\u003eGrokking Streaming Systems\u003c\/i\u003e you will learn how to: \u003cp\u003e\u003c\/p\u003e Implement and troubleshoot streaming systems\u003cbr\u003e Design streaming systems for complex functionalities\u003cbr\u003e Assess parallelization requirements\u003cbr\u003e Spot networking bottlenecks and resolve back pressure\u003cbr\u003e Group data for high-performance systems\u003cbr\u003e Handle delayed events in real-time systems \u003cp\u003e\u003c\/p\u003e \u003ci\u003eGrokking Streaming Systems\u003c\/i\u003e 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! \u003cp\u003e\u003c\/p\u003e Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. \u003cp\u003e\u003c\/p\u003e About the technology\u003cbr\u003e Streaming 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. \u003cp\u003e\u003c\/p\u003e About the book\u003cbr\u003e \u003ci\u003eGrokking Streaming Systems\u003c\/i\u003e 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. \u003cp\u003e\u003c\/p\u003e What's inside \u003cp\u003e\u003c\/p\u003e Implement and troubleshoot streaming systems\u003cbr\u003e Design streaming systems for complex functionalities\u003cbr\u003e Spot networking bottlenecks and resolve backpressure\u003cbr\u003e Group data for high-performance systems \u003cp\u003e\u003c\/p\u003eAbout the reader\u003cbr\u003e No prior experience with streaming systems is assumed. Examples in Java. \u003cp\u003e\u003c\/p\u003e About the author\u003cbr\u003e \u003cb\u003eJosh Fischer\u003c\/b\u003e and \u003cb\u003eNing Wang\u003c\/b\u003e are Apache Committers, and part of the committee for the Apache Heron distributed stream processing engine. \u003cp\u003e\u003c\/p\u003eTable of Contents\u003cbr\u003e PART 1 GETTING STARTED WITH STREAMING\u003cbr\u003e 1 Welcome to Grokking Streaming Systems\u003cbr\u003e 2 Hello, streaming systems!\u003cbr\u003e 3 Parallelization and data grouping\u003cbr\u003e 4 Stream graph\u003cbr\u003e 5 Delivery semantics\u003cbr\u003e 6 Streaming systems review and a glimpse ahead\u003cbr\u003e PART 2 STEPPING UP\u003cbr\u003e 7 Windowed computations\u003cbr\u003e 8 Join operations\u003cbr\u003e 9 Backpressure\u003cbr\u003e 10 Stateful computation\u003cbr\u003e 11 Wrap-up: Advanced concepts in streaming systems\u003cbr\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eAbout the Author\u003c\/b\u003e\u003cbr\u003eJosh 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. \u003cp\u003e\u003c\/p\u003eNing 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.\u003cbr\u003e","brand":"Manning Publications","offers":[{"title":"Default Title","offer_id":50861894271250,"sku":"9781617297304","price":55.99,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0831\/4771\/8930\/files\/img_80c37cfa-fb42-4db4-90bd-fdf3cb0f0ea2.jpg?v=1737606772","url":"https:\/\/surprise-castle.myshopify.com\/products\/grokking-streaming-systems-real-time-event-processing-9781617297304","provider":"Surprise Castle","version":"1.0","type":"link"}