Disruptive Possibilities: How Big Data Changes Everything (Paperback)
Jeffrey Needham
- 出版商: O'Reilly
- 出版日期: 2013-08-06
- 售價: $1,210
- 貴賓價: 9.5 折 $1,150
- 語言: 英文
- 頁數: 94
- 裝訂: Paperback
- ISBN: 1449369677
- ISBN-13: 9781449369675
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相關分類:
大數據 Big-data
海外代購書籍(需單獨結帳)
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相關主題
商品描述
Big data has more disruptive potential than any information technology developed in the past 40 years. As author Jeffrey Needham points out in this revealing book, big data can provide unprecedented visibility into the operational efficiency of enterprises and agencies.
Disruptive Possibilities provides an historically-informed overview through a wide range of topics, from the evolution of commodity supercomputing and the simplicity of big data technology, to the ways conventional clouds differ from Hadoop analytics clouds. This relentlessly innovative form of computing will soon become standard practice for organizations of any size attempting to derive insight from the tsunami of data engulfing them.
Replacing legacy silos—whether they’re infrastructure, organizational, or vendor silos—with a platform-centric perspective is just one of the big stories of big data. To reap maximum value from the myriad forms of data, organizations and vendors will have to adopt highly collaborative habits and methodologies.
商品描述(中文翻譯)
大數據比過去40年開發的任何信息技術都具有更具破壞性的潛力。正如作者Jeffrey Needham在這本揭示性的書中指出的那樣,大數據可以為企業和機構的運營效率提供前所未有的可見性。
《破壞性的可能性》通過廣泛的主題提供了一個具有歷史背景的概述,從商品超級計算的演變和大數據技術的簡單性,到傳統雲與Hadoop分析雲的區別。這種不斷創新的計算形式將很快成為任何規模的組織試圖從淹沒它們的數據海嘯中獲得洞察力的標準做法。
用以平台為中心的觀點取代遺留的矽谷(無論是基礎設施、組織還是供應商矽谷)只是大數據的一個重要故事。為了從各種形式的數據中獲得最大價值,組織和供應商將不得不採用高度協作的習慣和方法論。