Master Competitive Analytics with Oracle Endeca Information Discovery
McGraw-Hill Professional (Verlag)
978-0-07-183318-9 (ISBN)
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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
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 Group’s 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. 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.
Part One: A technical guide on Endeca product including architecture and implementation best practices
1: Endeca Information Discovery Overview
2: Understanding Endeca Server
3: Powering the Endeca Studio
4: Mastering Endeca Integration Suite
Part Two: A list of business analytics use cases that have not been previously published
5: Analytical Applications By Industry
6: Fraud Detection
7: Healthcare Correlation
8. Financial Industry Best Practices
| Erscheint lt. Verlag | 16.11.2014 |
|---|---|
| Zusatzinfo | 40 Illustrations, unspecified |
| Sprache | englisch |
| Maße | 193 x 234 mm |
| Gewicht | 464 g |
| Themenwelt | Informatik ► Datenbanken ► Data Warehouse / Data Mining |
| Informatik ► Datenbanken ► Oracle | |
| ISBN-10 | 0-07-183318-8 / 0071833188 |
| ISBN-13 | 978-0-07-183318-9 / 9780071833189 |
| Zustand | Neuware |
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