Book Image

JBoss: Developer's Guide

By : Elvadas Nono Woguia
Book Image

JBoss: Developer's Guide

By: Elvadas Nono Woguia

Overview of this book

Have you often wondered what is the best JBoss product to solve a specific problem? Do you want to get started with a specific JBoss product and know how to integrate different JBoss products in your IT Systems? Then this is the book for you. Through hands-on examples from the business world, this guide presents details on the major products and how you can build your own Enterprise services around the JBoss ecosystem. Starting with an introduction to the JBoss ecosystem, you will gradually move on to developing and deploying clustered application on JBoss Application Server, and setting up high availability using undertow or HA proxy loadbalancers. As you are moving to a micro service archicture, you will be taught how to package existing Java EE applications as micro service using Swarm or create your new micro services from scratch by coupling most popular Java EE frameworks like JPA, CDI with Undertow handlers. Next, you will install and configure JBoss Data grid in development and production environments, develop cache based applications and aggregate various data source in JBoss data virtualization. You will learn to build, deploy, and monitor integration scenarios using JBoss Fuse and run both producers/consumers applications relying on JBoss AMQ. Finally, you will learn to develop and run business workflows and make better decisions in your applications using Drools and Jboss BPM Suite Platform.
Table of Contents (10 chapters)

Exposing Data as a Service

This chapter introduces data virtualization and is centered around the paradigm of exposing data as a service with JBoss Data Virtualization (JDV). Through illustrated examples, you will progressively master the terminology used in this area and discover what data virtualization is. You will also learn how to create aggregated, unified, and virtualized views from disparate data sources, how to create source models, virtual models, and virtual databases, how to query join data from various sources, and finally, how to expose data views as a service. Throughout the chapter, we will work on practical use cases from the BeosBank sample. The BeosBank core management team wants to build a federated view for the EMEA region from various datasets in various databases and locations.

In the subsequent sections, we will cover the following items:

  • Introduction...