Understanding Big Data: Analytics for Enterprise Class Hadoop and Streaming Data (Paperback)
暫譯: 理解大數據：企業級Hadoop與串流數據分析
IBM, Paul Zikopoulos, Chris Eaton, Paul Zikopoulos
- 出版商: McGraw-Hill Education
- 出版日期: 2011-10-19
- 定價: $700
- 售價: 4.3 折 $299
- 語言: 英文
- 頁數: 176
- 裝訂: Paperback
- ISBN: 0071790535
- ISBN-13: 9780071790536
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相關分類:
Hadoop
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商品描述
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
商品描述(中文翻譯)
大數據代表了數據探索和利用的新時代，而 IBM 在幫助客戶應對這一轉型方面具有獨特的優勢。本書揭示了 IBM 如何利用開源大數據技術，並融合 IBM 的技術，來提供一個強大、安全、高可用的企業級大數據平台。
本書討論了大數據的三個定義特徵——數量、種類和速度。您將獲得有關 Hadoop 的入門知識，以及 IBM 如何為企業加強 Hadoop 的安全性，並學習何時利用 IBM InfoSphere BigInsights（靜態大數據）和 IBM InfoSphere Streams（動態大數據）技術。本實用指南中還包括行業使用案例。
- 學習 IBM 如何為企業級的可擴展性和可靠性加強 Hadoop
- 獲得對 IBM 獨特的動態和靜態大數據分析平台的深入了解
- 學習大數據使用案例和解決方案的技巧和竅門
- 獲得快速的 Hadoop 入門知識
