In the previous installment, I outlined the use case or business scenario we are implementing using the 3 JBoss middleware products. In this installment, I am going to describe the Fuse to Business-as-a-service (Business rules application on the Realtime Decision Server) integration which validates the XML data and the Fuse to BPMS integration which kicks off a business process instance for a mortgage application as well as the Fuse to JBoss Data Virtualisation integration. Continue reading Making JBoss Fuse, Data Virtualisation and BPMS Work Together – Part 2
Red Hat has been using the phrase “Accelerate, Integrate and Automate”, for sometime now, to explain its comprehensive middleware portfolio to its customers. Red Hat middleware does not work in isolation. It is imperative that these different middleware products can work together to achieve a business outcome.
In this article, I am going to show you how to make the 2 “Integrate” products: JBoss Fuse (Fuse), JBoss Data Virtualisation (JDV) and the “Automate” products: JBoss Business Process Management Suite (BPMS)/JBoss Business Rules Management System (BRMS) work together. Since BPMS/BRMS and JDV run on JBoss Application Server (EAP), I can even claim that this example involves middleware products of all 3 categories ie, Accelerate, Integrate and Automate. Continue reading Making JBoss Fuse, Data Virtualisation and BPMS Work Together – Part 1
In Part 1, I describe what Data Virtualisation is and how one product, namely JBoss Data Virtualisation, works and its architecture. In this instalment, I am going to describe the implementation of a virtual database using 3 data sources. I am also going to show you how to interact with the virtual database using the SquirrelSQL client. The intention of this article is to give you some ideas as to how easy it is to aggregate several data sources to construct a virtual database. It explains the implementation on a high level only and does not give a step-by-step instruction of how to do it from scratch. Continue reading JBoss Data Virtualization Part 2 – An Example
When you are only having a few applications, it is easy to integrate them using a point-to-point approach ie, each application connects to all the other applications directly to access the information. As the number of applications increases, using the point-to-point approach will result in a non-maintainable mess of spaghetti-like chaos as shown in the diagram below. You may reduce the integration complexity by either introducing an Enterprise Integration Bus (ESB) or by using Data Virtualization. It should be noted that this is not an either-or choice as ESB and data virtualization are the two sides of the same integration coin. ESB is used for application integration and data virtualization is used for data integration. They work together well. Complexity is not the only issue here, how about administering security? In using a point-to-point approach, you have to administer security or access control on each data source for each application. Also, many organizations store information eg, on a customer, using different applications and the information they store may differ slighly from application to application. This means that, depending on the system or application you query, you may end up with conflicting information on a customer. Continue reading JBoss Data Virtualization Part 1 – Concept