Master Competitive Analytics with Oracle Endeca Information Discovery (Paperback)
Helen Sun, William Smith
- 出版商: McGraw-Hill Education
- 出版日期: 2014-09-19
- 定價: $2,100
- 售價: 6.0 折 $1,260
- 語言: 英文
- 頁數: 264
- 裝訂: Paperback
- ISBN: 0071833188
- ISBN-13: 9780071833189
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相關分類:
Oracle
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商品描述
Oracle Endeca Information Discovery Best Practices
Maximize the powerful capabilities of this self-service enterprise data discovery platform. Master Competitive Analytics with Oracle Endeca Information Discovery reveals how to unlock insights from any type of data, regardless of structure. The first part of the book is a complete technical guide to the product's architecture, components, and implementation. The second part presents a comprehensive collection of business analytics use cases in various industries, including financial services, healthcare, research, manufacturing, retail, consumer packaged goods, and public sector. Step-by-step instructions on implementing some of these use cases are included in this Oracle Press book.
- Install and manage Oracle Endeca Server
- Design Oracle Endeca Information Discovery Studio visualizations to facilitate user-driven data exploration and discovery
- Enable enterprise-driven data exploration with Oracle Endeca Information Discovery Integrator
- Develop and implement a fraud detection and analysis application
- Build a healthcare correlation application that integrates claims, patient, and operations analysis; partners; clinical research; and remote monitoring
- Use an enterprise architecture approach to incrementally establish big data and analytical capabilities
商品描述(中文翻譯)
《Oracle Endeca Information Discovery 最佳實踐》
最大化這個自助企業數據探索平台的強大功能。《Master Competitive Analytics with Oracle Endeca Information Discovery》揭示了如何從任何類型的數據中提取洞察力,無論其結構如何。本書的第一部分是對產品架構、組件和實施的完整技術指南。第二部分介紹了各個行業的全面業務分析用例,包括金融服務、醫療保健、研究、製造、零售、消費品和公共部門。本書還包含了實施其中一些用例的逐步指導。
- 安裝和管理 Oracle Endeca Server
- 設計 Oracle Endeca Information Discovery Studio 可視化,以促進用戶驅動的數據探索和發現
- 使用 Oracle Endeca Information Discovery Integrator 實現企業驅動的數據探索
- 開發和實施詐騙檢測和分析應用
- 構建一個整合索賠、患者和運營分析、合作夥伴、臨床研究和遠程監測的醫療相關應用
- 使用企業架構方法逐步建立大數據和分析能力