Understanding Big Data: Analytics for Enterprise Class Hadoop and Streaming Data (Paperback)

IBM, Paul Zikopoulos, Chris Eaton, Paul Zikopoulos

Understanding Big Data: Analytics for Enterprise Class Hadoop and Streaming Data (Paperback)
  • 出版商: McGraw-Hill Education
  • 出版日期: 2011-10-19
  • 定價: $700
  • 售價: 2.8 折 $199
  • 語言: 英文
  • 頁數: 176
  • 裝訂: Paperback
  • ISBN: 0071790535
  • ISBN-13: 9780071790536
  • 相關分類: Hadoop、大數據 Big-data

    • 立即出貨 (庫存 < 3)

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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，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，結合IBM技術，提供強大、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：數據量、多樣性和速度。您將了解Hadoop的基礎知識，以及IBM如何為企業加固Hadoop，並學習何時應該利用IBM InfoSphere BigInsights（靜態大數據）和IBM InfoSphere Streams（動態大數據）技術。本實用指南還包括行業應用案例。


  • 了解IBM如何加固Hadoop以實現企業級可擴展性和可靠性

  • 深入了解IBM獨特的動態和靜態大數據分析平台

  • 學習大數據應用案例和解決方案的技巧和訣竅

  • 快速了解Hadoop的基礎知識

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