Techniques used for identifying, extracting, analyzing data generated in the business environment with the aim of obtaining knowledge from the events occurred in the organizations. Some of these techniques consist on the application of data mining algorithms to the amount of information generated in the business.
Published in Chapter:
Enterprise Service Bus for Building Integrated Enterprises
M. Antonia Martínez-Carreras (Universidad de Murcia, Spain), Francisco J. García-Jiménez (Universidad de Murcia, Spain), and Antonio F. Gómez-Skarmeta (Universidad de Murcia, Spain)
Copyright: © 2012
|Pages: 19
DOI: 10.4018/978-1-4666-0146-8.ch028
Abstract
Lately, the building of Enterprise Application Integration (EAI) where different legacy-applications may interoperate between them has gained the focus of business research. In this sense, the Service Oriented Architecture (SOA), and particularly the utilization of Web services standards, has attracted the attention of several researchers and practitioners for implementing the needs of EAI. More concretely, the emergence of Enterprise Service Bus (ESB) has brought a layer for favouring the mediation, transformation, and thus, the communication between these diverse applications, services, or business processes in a decoupled way. Indeed, the ESB technology integrates a wide range of current technologies and business standards. The aim of this chapter is to offer the design and necessities of Future Business Environments comparing how open ESBs fulfils these requirements. Furthermore, this chapter compares six of the most well-known open ESBs considering the characteristics provided in the design of Future Business Environments.