Explore the intersection of business rules management and big data in this 55-minute conference talk by Red Hat. Learn how to harness the power of JBoss BRMS to create and manage business rules for making sense of critical business data. Discover the architecture for integrating JBoss BRMS with Hadoop to update real-time requests with analytics derived from big data providers. Gain insights into using Pig and Hive with MapReduce to transform historical data for real-time application in money laundering classification. Examine a real-world case study from NTTData, showcasing how a Japanese fashion retail company leveraged JBoss BRMS and JBoss Data Grid to create a real-time offer system. Delve into key components, adaptive systems, user interfaces, data virtualization, and design patterns for effective implementation of business rules in big data environments.
The Intersection of Business Rules Management and Big Data
Overview
Syllabus
Intro
Agenda
Problem domain
Key components
Key products
Adaptive system
User interface
MapReduce rules
Data virtualization
MapReduce
Pig
Transaction Engine
Actionable
Adaptive
Design Pattern Diagram
Guided Editing Environment
Runtime Environment
Transaction Flow
Task Management
Recap
Success
Introduction
Outline
Results
Conclusion
Taught by
Red Hat
