XML-Based EAI Technologies for Rapid Implementation

XML-Based EAI Technologies for Rapid Implementation

Enterprise Application Integration (EAI) has been a sorely misunderstood and misrepresented term. In the past, EAI applications have concentrated on middleware solutions aimed at connecting disparate applications together. Now businesses are realizing that technical solutions alone cannot help us to tame the legacy dragon.

EAI has been and continues to be a technology driven by a real business need – to make effective use of existing and future data and application assets. It has been estimated that organizations spend 20-40% of their technology efforts on these types of integration tasks. Reducing this amount by just half can save organizations millions.

Faced with limited resources, you are interested in rapidly planning for what must be done in order to have your EAI initiatives succeed. Data engineering principals enable us to formulate an approach to these types of challenges using structured techniques – where the form of the problem can be used to guide the form of the solution. The resulting framework-based solution provides a system of ideas for guiding the analyses; a means of organizing the project data and metadata; a data integration priorities decision-making framework and a means of assessing progress toward project goals. Every XML-based initiative that begins with metadata recovery also begins with a clear understanding of the information content of the subject data. Thus, every time that you wrap some of your data in XML it provides an opportunity to contribute to overall EAI efforts.

Objectives

Why EAI is needed, what drove the need for EAI technology and the benefits of EAI
What the importance of XML is in relation to an EAI architecture
The key role that XML can and will play in future EAI initiatives and technologies.
How (with marginal effort) EAI projects can implemented literally as by-products of a variety of XML-based initiatives.
How to prepare for and implement the development of the common metadata model required as part of EAI initiatives.
How to develop a "low tech" XML repository required for implementing an incremental approach to EAI.
How to quickly and easily implement methods to extract XML-based "understanding" of legacy applications and new applications (including ERP) that are for suitable for EAI.
How to determine what the appropriate component size of EAI project phases should be in order to ensure positive return on investment in these efforts.

Duration 2 days

Who Should Attend

CIOs, CTOs, IT & IRM Managers, Project Managers, Data Architects, Data Administrators, Data Base Administrators, Business Analysts, Systems Analysts, Webmasters, Workflow Engineers, BPR Engineers, Document Specialists – in short – anyone who is responsible for planning and implementing EAI initiatives and the business managers who will invest in and use the results of the initiatives.

Prerequisite While not required – knowledge of data modeling and XML concepts will be helpful.

Course Format Lecture, group discussion

Instructor Dr. Peter Aiken