Donato Marrazzo
My main expertise is Business Process Management and Decision Management, but I even follow and advise on related matters: Enterprise Architecture, Mobile Development, Service Orientation, Connectivity, Social Computing and Collaboration facilities.
I have a solid development background using following technologies: C++, Web (HTML and javascript), Jave Enterprise, Web Services, BPEL, Business Integration (EAI).
Now, I'm involved in customer facing activities to evangelize about Red Hat Technologies, deliver Demonstrations and Seminars, implement Proof of Technology and Proof of Concept.
Donato Marrazzo's contributions
How to use Kafka Cruise Control for cluster optimization
Donato Marrazzo
Learn how Apache Kafka Cruise Control optimizes workload and improves performance.
Knowledge meets machine learning for smarter decisions, Part 2
Donato Marrazzo
Combine the machine learning logic you developed in Part 1 with a human-readable knowledge context. The end result is an "AI-augmented" decision model.
Knowledge meets machine learning for smarter decisions, Part 1
Donato Marrazzo
Learn how to use Red Hat Decision Manager to create your own machine learning model that blends the domains of knowledge enginering and machine learning.
Reducing data inconsistencies with Red Hat Process Automation Manager
Donato Marrazzo
Managing data reconciliation is necessary for Digital Process Automation (Business Process Management). This article shows how Red Hat Process Automation Manager can be used to address such a requirement in a structured and clean way.
Extend Red Hat JBoss BPM Suite through the Service Repository
Donato Marrazzo
Red Hat JBoss BPM Suite offers a really flexible BPMN engine that can be extended with Custom Reusable Services. you can create a repository of services and simplify the life of the BPMN designer that can easily pick and choose the right service.
How to use Kafka Cruise Control for cluster optimization
Learn how Apache Kafka Cruise Control optimizes workload and improves performance.
Knowledge meets machine learning for smarter decisions, Part 2
Combine the machine learning logic you developed in Part 1 with a human-readable knowledge context. The end result is an "AI-augmented" decision model.
Knowledge meets machine learning for smarter decisions, Part 1
Learn how to use Red Hat Decision Manager to create your own machine learning model that blends the domains of knowledge enginering and machine learning.
Reducing data inconsistencies with Red Hat Process Automation Manager
Managing data reconciliation is necessary for Digital Process Automation (Business Process Management). This article shows how Red Hat Process Automation Manager can be used to address such a requirement in a structured and clean way.
Extend Red Hat JBoss BPM Suite through the Service Repository
Red Hat JBoss BPM Suite offers a really flexible BPMN engine that can be extended with Custom Reusable Services. you can create a repository of services and simplify the life of the BPMN designer that can easily pick and choose the right service.