Oracle Big Data Handbook (Paperback) (甲骨文大數據手冊 (平裝本))

Tom Plunkett, Brian Macdonald, Bruce Nelson, Mark Hornick, Helen Sun, Khader Mohiuddin, Debra Harding, Gokula Mishra, Robert Stackowiak, Keith Laker, David Segleau

Oracle Big Data Handbook (Paperback)
  • 出版商: McGraw-Hill Education
  • 出版日期: 2013-09-25
  • 定價: $2,480
  • 售價: 6.0 折 $1,488
  • 語言: 英文
  • 頁數: 464
  • 裝訂: Paperback
  • ISBN: 0071827269
  • ISBN-13: 9780071827263
  • 相關分類: Oracle、大數據 Big-data

    • 立即出貨 (庫存 < 3)

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商品描述

content<h4>Transform Big Data into Insight</h4> <p><i>"In this book, some of Oracle's best engineers and architects explain how you can make use of big data. They'll tell you how you can integrate your existing Oracle solutions with big data systems, using each where appropriate and moving data between them as needed."</i> -- Doug Cutting, co-creator of Apache Hadoop</p> <p>Cowritten by members of Oracle's big data team, <i>Oracle Big Data Handbook</i> provides complete coverage of Oracle's comprehensive, integrated set of products for acquiring, organizing, analyzing, and leveraging unstructured data. The book discusses the strategies and technologies essential for a successful big data implementation, including Apache Hadoop, Oracle Big Data Appliance, Oracle Big Data Connectors, Oracle NoSQL Database, Oracle Endeca, Oracle Advanced Analytics, and Oracle's open source R offerings. Best practices for migrating from legacy systems and integrating existing data warehousing and analytics solutions into an enterprise big data infrastructure are also included in this Oracle Press guide.</p> <ul> <li>Understand the value of a comprehensive big data strategy <li>Maximize the distributed processing power of the Apache Hadoop platform <li>Discover the advantages of using Oracle Big Data Appliance as an engineered system for Hadoop and Oracle NoSQL Database <li>Configure, deploy, and monitor Hadoop and Oracle NoSQL Database using Oracle Big Data Appliance <li>Integrate your existing data warehousing and analytics infrastructure into a big data architecture <li>Share data among Hadoop and relational databases using Oracle Big Data Connectors <li>Understand how Oracle NoSQL Database integrates into the Oracle Big Data architecture <li>Deliver faster time to value using in-database analytics <li>Analyze data with Oracle Advanced Analytics (Oracle R Enterprise and Oracle Data Mining), Oracle R Distribution, ROracle, and Oracle R Connector for Hadoop <li>Analyze disparate data with Oracle Endeca Information Discovery <li>Plan and implement a big data governance strategy and develop an architecture and roadmap</ul></p>sourceProduct Description

商品描述(中文翻譯)

「將大數據轉化為洞察力」
在這本書中，Oracle最優秀的工程師和架構師將解釋如何利用大數據。他們將告訴您如何將現有的Oracle解決方案與大數據系統整合，根據需要在它們之間移動數據。- Apache Hadoop的共同創造者Doug Cutting

「Oracle大數據手冊」由Oracle的大數據團隊成員共同撰寫，全面介紹了Oracle的全面、集成的產品，用於獲取、組織、分析和利用非結構化數據。該書討論了成功實施大數據的策略和技術，包括Apache Hadoop、Oracle大數據設備、Oracle大數據連接器、Oracle NoSQL數據庫、Oracle Endeca、Oracle高級分析和Oracle的開源R解決方案。本書還包括從遺留系統遷移和將現有數據倉儲和分析解決方案集成到企業大數據基礎架構中的最佳實踐。

本書的內容包括：
- 瞭解全面的大數據策略的價值
- 最大化Apache Hadoop平台的分散處理能力
- 發現使用Oracle大數據設備作為Hadoop和Oracle NoSQL數據庫的工程化系統的優勢
- 使用Oracle大數據設備配置、部署和監控Hadoop和Oracle NoSQL數據庫
- 將現有的數據倉儲和分析基礎架構集成到大數據架構中
- 使用Oracle大數據連接器在Hadoop和關聯數據庫之間共享數據
- 瞭解Oracle NoSQL數據庫如何集成到Oracle大數據架構中
- 使用數據庫內分析提供更快的價值
- 使用Oracle高級分析（Oracle R Enterprise和Oracle Data Mining）、Oracle R Distribution、ROracle和Oracle R Connector for Hadoop進行數據分析
- 使用Oracle Endeca信息發現分析不同的數據
- 計劃和實施大數據治理策略，並制定架構和路線圖

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