子标题：The What, Where, When, and How of Large-Scale Data Processing作者： Tyler Akidau, Slava Chernyak, Reuven LaxISBN-10: 9781491983874 出版年份： 2018页数： 352语言： English文件大小： 8.27 MB文件格式： PDF图书描述
Streaming data is a big deal in big data these days. As more and more businesses seek to tame the massive unbounded data sets that pervade our world, streaming systems have finally reache
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2周前 (10-07) 95℃ 0评论
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子标题：Mastering Structured Streaming and Spark Streaming作者： Francois Garillot, Gerard MaasISBN-10: 1491944242出版年份： 2019页数： 452 语言： English文件大小： 2.5 MB文件格式： PDF图书描述 Before you can build analytics tools to gain quick insights, you first need to know how to process data in real time. With this practical guide, developers familiar with Apache Spark will learn how to put this in-m
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2周前 (10-05) 79℃ 0评论
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子标题：Fundamentals, Implementation, and Operation of Streaming Applications作者： Fabian Hueske, Vasiliki KalavriISBN-10: 149197429X出版年份： 2019页数： 280语言： English文件大小： 10.2 MB文件格式： PDF图书描述
Get started with Apache Flink, the open source framework that powers some of the world’s largest stream processing applications. With this practical book, you’ll explore the fundamental
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2周前 (10-05) 79℃ 0评论
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子标题：Discover the definitive guide to crafting lightning-fast data processing for distributed systems with Apache Flink作者： Tanmay DeshpandeISBN-10: 1786466228出版年份： 2017页数： 280语言： English文件大小： 6 MB文件格式： PDF图书描述 With the advent of massive computer systems, organizations in different domains generate large amounts of data on a real-time basis. The latest entrant to big data pro
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子标题：Stream Processing for Real Time and Beyond作者： Ellen Friedman, Kostas TzoumasISBN-10: 1491976586出版年份： 2016页数： 110语言： English文件大小： 3.60 MB文件格式： PDF图书描述
There’s growing interest in learning how to analyze streaming data in large-scale systems such as web traffic, financial transactions, machine logs, industrial sensors, and many others. But analyzing data streams at sc
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