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子标题：Over 60 practical recipes to achieve better results using the experts' methods for data mining作者： Dean Abbott, Keith McCormick, Meta S. Brown, Scott R. Mutchler, Tom KhabazaISBN-10: 1849685460出版年份： 2013页数： 382语言： English文件大小： 14.7 MB文件格式： PDF图书描述
IBM SPSS Modeler is a data mining workbench that enables you to explore data, identify important relationships that you can
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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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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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Scala has been observing wide adoption over the past few years, especially in the field of data science and analytics. Spark, built on Scala, has gained a lot of recognition and is being
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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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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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R in Action, Second Edition presents both the R language and the examples that make it so useful for business developers. Focusing on practical solutions, the book offers a crash course in statistics and covers elegant methods for dealing with
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