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Master Competitive Analytics with Oracle Endeca Information Discovery

Helen Sun William Smith

$142.95   $121.09

Paperback

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English
McGraw-Hill Professional
16 November 2014
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Oracle Endeca Information Discovery Best PracticesMaximize 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 areincluded 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
By:   ,
Imprint:   McGraw-Hill Professional
Country of Publication:   United States
Dimensions:   Height: 234mm,  Width: 193mm,  Spine: 14mm
Weight:   464g
ISBN:   9780071833189
ISBN 10:   0071833188
Pages:   264
Publication Date:  
Audience:   Professional and scholarly ,  Undergraduate
Format:   Paperback
Publisher's Status:   Unknown

Helen Sun is the co-author of Oracle Big Data Handbook and wrote two chapters including Chapter 11 on Endeca and Chapter 13 on Big Data Architecture development. She has written one of the most downloaded white papers on Big Data (along with numerous other white papers on Information Architecture and Data Governance). Helen is the lead author of Oracle Information Architecture and Framework, and has spoken at various industry events including being a keynote speaker at Open Groups World Conference on Big Data and Oracle Open World. Helen is a current Oracle employee working on Endeca integration and Oracle Big Data. She regularly performs demos and education sessions with Oracle customers on Endeca and analytics and real-world expertise on implementing business analytics using Endeca for a variety of industries including Financial Services, HealthCare, Research, Manufacturing, Retail, CGP, and Public Sector William Smith has over two decades experience as an Enterprise Architect with a strong background in decision support systems and analytics. Williams early career experience includes working with data from manufacturing control systems and instrumentation in industries that include plastics, petro-chemicals, glass, food, and extrusion processes. William has enterprise systems experience in higher education, finance, consumer research, and healthcare. In the area of analytics, William is an Oracle employee and has worked in the area of predictive failures and statistical process control. William is currently working with customers making use of Big Data and is developing innovative solutions utilizing Endeca.

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