最新大数据电子书：Big Data Analytics Beyond Hadoop: Real-Time Applications with

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简介

[size=14.399999618530273px]Master alternative Big Data technologies that can do what Hadoop can’t: real-time analytics and iterative machine learning.

[size=14.399999618530273px]When most technical professionals think of Big Data analytics today, they think of Hadoop. But there are many cutting-edge applications that Hadoop isn’t well suited for, especially real-time analytics and contexts requiring the use of iterative machine learning algorithms. Fortunately, several powerful new technologies have been developed specifically for use cases such as these. Big Data Analytics Beyond Hadoop is the first guide specifically designed to help you take the next steps beyond Hadoop. Dr. Vijay Srinivas Agneeswaran introduces the breakthrough Berkeley Data Analysis Stack (BDAS) in detail, including its motivation, design, architecture, Mesos cluster management, performance, and more. He presents realistic use cases and up-to-date example code for:

• Spark, the next generation in-memory computing technology from UC Berkeley
• Storm, the parallel real-time Big Data analytics technology from Twitter
• GraphLab, the next-generation graph processing paradigm from CMU and the University of Washington (with comparisons to alternatives such as Pregel and Piccolo)
  

[size=14.399999618530273px]Halo also offers architectural and design guidance and code sketches for scaling machine learning algorithms to Big Data, and then realizing them in real-time. He concludes by previewing emerging trends, including real-time video analytics, SDNs, and even Big Data governance, security, and privacy issues. He identifies intriguing startups and new research possibilities, including BDAS extensions and cutting-edge model-driven analytics.

[size=14.399999618530273px]Big Data Analytics Beyond Hadoop is an indispensable resource for everyone who wants to reach the cutting edge of Big Data analytics, and stay there: practitioners, architects, programmers, data scientists, researchers, startup entrepreneurs, and advanced students

[size=14.399999618530273px] Big Data Analytics Beyond Hadoop_ Real-Time Applications with Storm, Spark, and .pdf (398.32 KB, 需要: 10 个论坛币)

2014-7-27 21:43:15 上传

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关键词：Applications Application Analytics Real-time Big data 电子书 Beyond

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贵---，值好得留意一下，感謝樓主的告知，我先研究一下。。。

只有48页，也不说清楚!欺骗!大家别上当！

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I really need some practical books

我看靠几个论坛币过日子的人，不可能做成什么大事！！！注定的！！！