Главная
Study mode:
on
1
Intro
2
Agenda
3
Problem domain
4
Key components
5
Key products
6
Adaptive system
7
User interface
8
MapReduce rules
9
Data virtualization
10
MapReduce
11
Pig
12
Transaction Engine
13
Actionable
14
Adaptive
15
Design Pattern Diagram
16
Guided Editing Environment
17
Runtime Environment
18
Transaction Flow
19
Task Management
20
Recap
21
Success
22
Introduction
23
Outline
24
Results
25
Conclusion
Description:
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

Red Hat
Add to list