Real-Time Analytics 在線電子書 pdf 下載 txt下載 epub 下載 mobi 下載 2024


Real-Time Analytics

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Byron Ellis 作者
Wiley
譯者
2014-7-21 出版日期
432 頁數
USD 45.00 價格
Paperback
叢書系列
9781118837917 圖書編碼

Real-Time Analytics 在線電子書 圖書標籤: 實時分析  大數據  數據分析  流計算  流式計算  計算機  Analytics  數據平颱   


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Real-Time Analytics 在線電子書 epub 下載 mobi 下載 pdf 下載 txt 下載 2024

Real-Time Analytics 在線電子書 epub 下載 pdf 下載 mobi 下載 txt 下載 2024

Real-Time Analytics 在線電子書 pdf 下載 txt下載 epub 下載 mobi 下載 2024



Real-Time Analytics 在線電子書 用戶評價

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描述較多,技術細節不是很詳細。但看起來是個大坑,暫時沒精力跳。

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描述較多,技術細節不是很詳細。但看起來是個大坑,暫時沒精力跳。

評分

描述較多,技術細節不是很詳細。但看起來是個大坑,暫時沒精力跳。

評分

描述較多,技術細節不是很詳細。但看起來是個大坑,暫時沒精力跳。

評分

描述較多,技術細節不是很詳細。但看起來是個大坑,暫時沒精力跳。

Real-Time Analytics 在線電子書 著者簡介

BYRON ELLIS is CTO of Spongecell, where he heads research and development. Previously the Chief Data Scientist for LivePerson and CTO at AdBrite, Ellis holds a Ph.D. in Statistics from Harvard University, and a B.S. in Cybernetics from UCLA. He presents sessions on real-time analytics at Strata and other major conferences.


Real-Time Analytics 在線電子書 著者簡介


Real-Time Analytics 在線電子書 pdf 下載 txt下載 epub 下載 mobi 在線電子書下載

Real-Time Analytics 在線電子書 圖書描述

Construct a robust end-to-end solution for analyzing and visualizing streaming data

Real-time analytics is the hottest topic in data analytics today. In Real-Time Analytics: Techniques to Analyze and Visualize Streaming Data, expert Byron Ellis teaches data analysts technologies to build an effective real-time analytics platform. This platform can then be used to make sense of the constantly changing data that is beginning to outpace traditional batch-based analysis platforms.

The author is among a very few leading experts in the field. He has a prestigious background in research, development, analytics, real-time visualization, and Big Data streaming and is uniquely qualified to help you explore this revolutionary field. Moving from a description of the overall analytic architecture of real-time analytics to using specific tools to obtain targeted results, Real-Time Analytics leverages open source and modern commercial tools to construct robust, efficient systems that can provide real-time analysis in a cost-effective manner. The book includes:

* A deep discussion of streaming data systems and architectures

* Instructions for analyzing, storing, and delivering streaming data

* Tips on aggregating data and working with sets

* Information on data warehousing options and techniques

Real-Time Analytics includes in-depth case studies for website analytics, Big Data, visualizing streaming and mobile data, and mining and visualizing operational data flows. The book's "recipe" layout lets readers quickly learn and implement different techniques. All of the code examples presented in the book, along with their related data sets, are available on the companion website.

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