Master Competitive Analytics with Oracle Endeca Information Discovery
Language: English
Published by Mcgraw Hill LLC Sep 2014, 2014
- Softcover
- New
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
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Add to basketItem description from seller
Neuware - Publisher's Note: Products purchased from Third Party sellers are not guaranteed by the publisher for quality, authenticity, or access to any online entitlements included with the product.>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.…
Seller Inventory # 9780071833189
- Title
- Master Competitive Analytics with Oracle Endeca Information Discovery
- Author
- Helen Sun
- Publisher
- Mcgraw Hill LLC Sep 2014
- Publication year
- 2014
- Condition
- Neu
- Binding
- Taschenbuch
- Language
- English
- ISBN 10
- 0071833188
- ISBN 13
- 9780071833189
- Item weight
- 452 grams
- Dimensions
- 231x184x17 mm
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 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
"Synopsis" may belong to another edition of this title.
About the Author
William Smith has over two decades experience as an Enterprise Architect with a strong background in decision support systems and analytics. William’s 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.
"About the title" may belong to another edition of this title.
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