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Hadoop and HDInsight: Big Data in Windows Azure

机译:Hadoop和HDInsight:Windows Azure中的大数据

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摘要

Lets begin with a bold assertion: "If you, your startup, or the enterprise you work for aren't saving massive quantities of data to disk for current and future analysis, you are compromising your effectiveness as a technical leader!' Isn't it foolish to base important business decisions on gut instinct alone, rather than real quantitative data? There are many reasons why big data is so pervasive. First, its amazingly cheap to collect and store data in any form, structured or unstructured, especially with the help of products such as Windows Azure Storage services. Second, its economical to leverage the cloud to provide the needed compute power-running on commodity hardware-to analyze this data. Finally, big data done well provides a major competitive advantage to businesses because its possible to extract undiscovered information from vast quantities of unstructured data. The purpose of this months article is to show how you can leverage the Windows Azure platform-in particular the Windows Azure HDInsight Service-to solve big data challenges.
机译:让我们以一个大胆的断言开始:“如果您,您的初创公司或您所工作的企业没有将大量数据保存到磁盘上以进行当前和将来的分析,那么您正在损害作为技术领导者的效力!”仅根据直觉而不是真实的定量数据来制定重要的业务决策不是很愚蠢吗?大数据如此普及的原因有很多:首先,以任何形式(结构化或非结构化)收集和存储数据的成本都非常低廉,尤其是在Windows Azure存储服务等产品的帮助下,其次,利用云来提供必需的计算能力(在商用硬件上运行)来分析数据是经济的,最后,做得好的大数据为企业提供了主要的竞争优势。本月的文章旨在展示如何利用Windows Azure平台(尤其是Windows Azure HDInsight Service)来解决大数据挑战。

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