{"product_id":"grokking-streaming-systems-preal-time-event-processing-paperback-p","title":"Grokking Streaming Systems","description":"\u003cp\u003e\u003cspan style=\"box-sizing: border-box; color: rgb(15, 17, 17); font-family: \" amazon ember arial sans-serif\u003eIn \u003c\/span\u003e\u003cspan class=\"a-text-italic\" style=\"box-sizing: border-box; color: rgb(15, 17, 17); font-family: \" amazon ember arial sans-serif font-style: italic\u003eGrokking Streaming Systems\u003c\/span\u003e\u003cspan style=\"box-sizing: border-box; color: rgb(15, 17, 17); font-family: \" amazon ember arial sans-serif\u003e you will learn how to:\u003cbr style=\"box-sizing: border-box;\"\u003e\u003cbr style=\"box-sizing: border-box;\"\u003e    Implement and troubleshoot streaming systems\u003cbr style=\"box-sizing: border-box;\"\u003e    Design streaming systems for complex functionalities\u003cbr style=\"box-sizing: border-box;\"\u003e    Assess parallelization requirements\u003cbr style=\"box-sizing: border-box;\"\u003e    Spot networking bottlenecks and resolve back pressure\u003cbr style=\"box-sizing: border-box;\"\u003e    Group data for high-performance systems\u003cbr style=\"box-sizing: border-box;\"\u003e    Handle delayed events in real-time systems\u003c\/span\u003e\u003cbr style=\"box-sizing: border-box;\"\u003e\u003cbr style=\"box-sizing: border-box;\"\u003e\u003cspan class=\"a-text-italic\" style=\"box-sizing: border-box; color: rgb(15, 17, 17); font-family: \" amazon ember arial sans-serif font-style: italic\u003eGrokking Streaming Systems\u003c\/span\u003e\u003cspan style=\"box-sizing: border-box; color: rgb(15, 17, 17); font-family: \" amazon ember arial sans-serif\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!\u003cbr style=\"box-sizing: border-box;\"\u003e\u003cbr style=\"box-sizing: border-box;\"\u003e\u003cstrong\u003eAbout the technology\u003c\/strong\u003e\u003cbr style=\"box-sizing: border-box;\"\u003eStreaming 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.\u003cbr style=\"box-sizing: border-box;\"\u003e\u003cbr style=\"box-sizing: border-box;\"\u003e\u003cstrong\u003eAbout the book\u003c\/strong\u003e\u003c\/span\u003e\u003cbr style=\"box-sizing: border-box;\"\u003e\u003cspan class=\"a-text-italic\" style=\"box-sizing: border-box; color: rgb(15, 17, 17); font-family: \" amazon ember arial sans-serif font-style: italic\u003eGrokking Streaming Systems\u003c\/span\u003e\u003cspan style=\"box-sizing: border-box; color: rgb(15, 17, 17); font-family: \" amazon ember arial sans-serif\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.\u003cbr style=\"box-sizing: border-box;\"\u003e\u003cbr style=\"box-sizing: border-box;\"\u003eWhat's inside\u003cbr style=\"box-sizing: border-box;\"\u003e\u003cbr style=\"box-sizing: border-box;\"\u003e    Implement and troubleshoot streaming systems\u003cbr style=\"box-sizing: border-box;\"\u003e    Design streaming systems for complex functionalities\u003cbr style=\"box-sizing: border-box;\"\u003e    Spot networking bottlenecks and resolve backpressure\u003cbr style=\"box-sizing: border-box;\"\u003e    Group data for high-performance systems\u003cbr style=\"box-sizing: border-box;\"\u003e\u003cbr style=\"box-sizing: border-box;\"\u003eAbout the reader\u003cbr style=\"box-sizing: border-box;\"\u003eNo prior experience with streaming systems is assumed. Examples in Java.\u003cbr style=\"box-sizing: border-box;\"\u003e\u003cspan style=\"font-size: 18px; font-weight: 700;\"\u003e About the Author\u003c\/span\u003e\u003c\/span\u003e\u003c\/p\u003e\u003cp\u003e\u003cspan style=\"box-sizing: border-box; color: rgb(15, 17, 17); font-family: \" amazon ember arial sans-serif\u003e\u003cspan style=\"font-size: 18px; font-weight: 700;\"\u003e\u003c\/span\u003e\u003c\/span\u003e\u003cstrong\u003e\u003cspan class=\"a-text-bold\" style=\"color: rgb(15, 17, 17); font-family: \" amazon ember arial sans-serif box-sizing: border-box font-weight:\u003eJosh Fischer\u003c\/span\u003e\u003c\/strong\u003e\u003cspan style=\"color: rgb(15, 17, 17); font-family: \" amazon ember arial sans-serif box-sizing: border-box\u003e is an Apache Committer, and part of the project management committee for the Apache Heron distributed stream processing engine. Josh is also a software engineer at Scotcro and has worked with moving large datasets in real time for organizations such as 1904labs and Bayer.\u003c\/span\u003e\u003c\/p\u003e\u003cp\u003e\u003cspan style=\"color: rgb(15, 17, 17); font-family: \" amazon ember arial sans-serif box-sizing: border-box\u003e\u003c\/span\u003e\u003cspan style=\"color: rgb(15, 17, 17); font-family: \" amazon ember arial sans-serif box-sizing: border-box\u003e\u003cstrong\u003eNing Wang\u003c\/strong\u003e 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.\u003c\/span\u003e\u003cspan style=\"color: rgb(15, 17, 17); font-family: \" amazon ember arial sans-serif\u003e \u003c\/span\u003e\u003c\/p\u003e\u003cp\u003e\u003cspan style=\"box-sizing: border-box; color: rgb(15, 17, 17); font-family: \" amazon ember arial sans-serif\u003e\u003cstrong\u003eTable of Contents\u003c\/strong\u003e\u003cbr style=\"box-sizing: border-box;\"\u003ePART 1 GETTING STARTED WITH STREAMING\u003cbr style=\"box-sizing: border-box;\"\u003e1 Welcome to Grokking Streaming Systems\u003cbr style=\"box-sizing: border-box;\"\u003e2 Hello, streaming systems!\u003cbr style=\"box-sizing: border-box;\"\u003e3 Parallelization and data grouping\u003cbr style=\"box-sizing: border-box;\"\u003e4 Stream graph\u003cbr style=\"box-sizing: border-box;\"\u003e5 Delivery semantics\u003cbr style=\"box-sizing: border-box;\"\u003e6 Streaming systems review and a glimpse ahead\u003cbr style=\"box-sizing: border-box;\"\u003ePART 2 STEPPING UP\u003cbr style=\"box-sizing: border-box;\"\u003e7 Windowed computations\u003cbr style=\"box-sizing: border-box;\"\u003e8 Join operations\u003cbr style=\"box-sizing: border-box;\"\u003e9 Backpressure\u003cbr style=\"box-sizing: border-box;\"\u003e10 Stateful computation\u003cbr style=\"box-sizing: border-box;\"\u003e11 Wrap-up: Advanced concepts in streaming systems\u003c\/span\u003e\u003c\/p\u003e\u003cp\u003e \u003cb\u003eeBook License\u003c\/b\u003e\u003c\/p\u003e\u003cp\u003eEnd-User Warranty and License Agreement\u003c\/p\u003e\u003cp\u003e1. 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Limitation of Liability\u003c\/p\u003e\u003cp\u003eIN NO EVENT WILL MANNING BE LIABLE FOR ANY DAMAGES, WHETHER ARISING FOR TORT OR CONTRACT, INCLUDING LOSS OF DATA, LOST PROFITS, OR OTHER SPECIAL, INCIDENTAL, CONSEQUENTIAL, OR INDIRECT DAMAGES ARISING OUT OF THE USE OR INABILITY TO USE THE EBOOK.\u003c\/p\u003e\u003cp\u003e7. General\u003c\/p\u003e\u003cp\u003eThis Agreement constitutes the entire agreement between you and Manning and supersedes any prior agreement concerning the ebook. This Agreement is governed by the laws of the State of New York.\u003c\/p\u003e\u003cp\u003e \u003c\/p\u003e\u003cp\u003e \u003c\/p\u003e","brand":"Manning Publications","offers":[{"title":"Paperback","offer_id":50506260414534,"sku":"9781617297304","price":4727.0,"currency_code":"INR","in_stock":true},{"title":"E-Book","offer_id":50506260447302,"sku":"9781617297304-2","price":4333.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0754\/2797\/1142\/files\/81IoIi8UrvL.jpg?v=1790324476","url":"https:\/\/cb-india.com\/products\/grokking-streaming-systems-preal-time-event-processing-paperback-p","provider":"Computer Bookshop (India) Pvt Ltd","version":"1.0","type":"link"}