Master Competitive Analytics With Oracle Endeca Information Discovery

Introduces the enterprise data discovery platform, including its architecture, components, and implementation, with business analytics use cases in such industries as financial services, healthcare, research, manufacturing, and retail.

Table des matières

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

A propos de l'auteur

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

Détails du produit

• Auteurs: William Smith, Smith William, Helen Sun, Helen/ Smith Sun, Sun Helen
• Edition: Osborne mcgraw-hill
• Langues: Anglais
• Format d'édition: Livre de poche
• Sortie: 24.09.2014
• EAN: 9780071833189
• ISBN: 978-0-07-183318-9
• Pages: 256
• Thèmes: McGraw-Hill Professional; Oracle (McGraw-Hill); Oracle (McGraw-Hill)
• Catégories: Sciences naturelles, médecine, informatique, technique > Informatique, ordinateurs > Général, dictionnaires; Oracle, Database Software, COMPUTERS / Business & Productivity Software / Databases