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Data Management - The Evolution of Data

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GITA 2003


System Integration
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System integration using Websphere MQ

Carolyn Bakke
Senior Industry Consultant
Intergraph

Dan Givens
Senior Technical Manager
Intergraph
241 Disk Drive
Madison, AL 35758


Abstract
Although there has been much talk about the concept of EAI, a single dominant EAI framework has not emerged in the industry. This paper will point out the trends and benefits associated with EAI strategies and then focus on one aspect of EAI – message brokering. A case study will be presented a utility using MQSeries middleware to manage interfaces between their geospatially enabled workforce management systems and other enterprise systems.

Introduction
Enterprise Application Integration (EAI) is critical to the utility as a way to join together islands of data and fully leverage separate IT systems. Data and/or analysis from multiple systems are required for most end users. Although most industry experts agree that a single user interface accessing data and processes from enterprise systems is better than a user having to run multiple applications to perform a job function, a single EAI framework for integrating these systems has not emerged in the industry, nor have there been many successful utility implementations using this integration strategy.

In our opinion, there should be two main goals of EAI:
  1. Integration of enterprise systems and data should provide end users a more streamlined workflow for performing their job, using data from multiple systems in a single application GUI.
  2. Consistent interface standards, common information models, and messaging middleware should be considered when choosing the EAI framework.
This paper will discuss these two goals of EAI and give examples of how Knoxville Utilities Board has integrated their geospatially enabled Outage and Workforce Management Systems with other enterprise systems, such as Customer Information.

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