Complex Event Processing - CEP 10,000 Foot View

Overview

Explore Complex Event Processing from a high-level perspective, understanding its concepts, applications, and impact on data analysis and decision-making in real-time systems.

Syllabus

• Introduction to Complex Event Processing (CEP)
Definition and key concepts
Historical evolution of CEP
Overview of CEP architecture and components
• Theoretical Foundations of CEP
Event types and hierarchies
Event patterns and pattern matching
Temporal constraints in event processing
• CEP Applications and Use Cases
Financial services and fraud detection
Real-time monitoring and alerting systems
IoT and sensor data processing
Business process management and optimization
• CEP in Real-Time Data Analysis
Integration with data streams and big data technologies
Synergy with machine learning and analytics
Challenges in real-time data processing
• CEP Tools and Frameworks
Overview of popular CEP engines (e.g., Apache Flink, WSO2)
Criteria for selecting CEP tools
Integration with existing IT infrastructure
• Impact of CEP on Decision-Making
Improved decision-making through real-time insights
Automation of operational and strategic decisions
Case studies demonstrating impact and ROI
• Future Trends in CEP
Advances in CEP technology and standards
Emerging applications and industry trends
Potential impact of advancements in AI on CEP systems
• Summary and Conclusion
Recap of key concepts and applications
Final thoughts on the role of CEP in modern data-centric environments
• Additional Resources
Recommended reading and external resources
Overview of key industry conferences and community groups

Subjects

Conference Talks