Oracle Big Data Handbook (Paperback)
暫譯: Oracle 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
- 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
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相關分類:
Oracle、大數據 Big-data
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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)
內容
將大數據轉化為洞察
「在這本書中,Oracle 的一些最佳工程師和架構師解釋了如何利用大數據。他們將告訴你如何將現有的 Oracle 解決方案與大數據系統整合,根據需要在兩者之間移動數據。」 -- Doug Cutting,Apache Hadoop 的共同創建者
由 Oracle 大數據團隊成員共同撰寫的 Oracle 大數據手冊 提供了 Oracle 全面、整合的產品集的完整介紹,這些產品用於獲取、組織、分析和利用非結構化數據。本書討論了成功實施大數據所需的策略和技術,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 進階分析以及 Oracle 的開源 R 產品。本 Oracle Press 指南還包括從舊系統遷移和將現有數據倉儲及分析解決方案整合到企業大數據基礎架構中的最佳實踐。
- 了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整合到大數據架構中
- 使用 Oracle 大數據連接器在 Hadoop 和關聯數據庫之間共享數據
- 了解 Oracle NoSQL 數據庫如何整合到 Oracle 大數據架構中
- 使用內建分析提供更快的價值實現時間
- 使用 Oracle 進階分析(Oracle R Enterprise 和 Oracle 數據挖掘)、Oracle R 發行版、ROracle 和 Oracle R 連接器分析數據
- 使用 Oracle Endeca 信息發現分析不同數據
- 規劃和實施大數據治理策略,並開發架構和路線圖