Big Data represents a new era in data exploration and utilization, and IBM is uniquely positioned to help clients navigate this transformation. This book reveals how IBM is leveraging open source Big Data technology, infused with IBM technologies, to deliver a robust, secure, highly available, enterprise-class Big Data platform. The three defining characteristics of Big Data--volume, variety, and velocity--are discussed. You'll get a primer on Hadoop and how IBM is hardening it for the enterprise, and learn when to leverage IBM InfoSphere BigInsights (Big Data at rest) and IBM InfoSphere Streams (Big Data in motion) technologies. Industry use cases are also included in this practical guide. Learn how IBM hardens Hadoop for enterprise-class scalability and reliability Gain insight into IBM's unique in-motion and at-rest Big Data analytics platform Learn tips and tricks for Big Data use cases and solutions Get a quick Hadoop primer
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IBM借助开源系统打造商用产品的方法值得学习。本书包括大数据定义、应用场景分析、Hadoop技术及其周边生态系统，及IBM的BigInsight、Stream产品对于静态、流数据的分析。
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评分IBM借助开源系统打造商用产品的方法值得学习。本书包括大数据定义、应用场景分析、Hadoop技术及其周边生态系统，及IBM的BigInsight、Stream产品对于静态、流数据的分析。
评分IBM借助开源系统打造商用产品的方法值得学习。本书包括大数据定义、应用场景分析、Hadoop技术及其周边生态系统，及IBM的BigInsight、Stream产品对于静态、流数据的分析。
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