Data Integration (DI) is the use of software and architectural principles to bring together (integrate) a set of enterprise computer applications, with an emphasis on decoupling the data integration (application adaptors and message transformations) from the business processes that use the data. Data Integration uses middleware technologies such as an Enterprise Service Bus (ESB) as part of a service-oriented architecture as a means of integration.
This paper examines the evolution of enterprise applications, the data centers in which these applications reside and the increasing expectations of businesses and end-users on the Quality of Service (QoS) their applications deliver.
As an IT professional, you know that when you have many users to support, every second counts! Slow remote desktop connection times and poor, unreliable connection performance can add up to significant time wasted when extended over days, weeks and months of remote control sessions.
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This report summarizes the changes that are occurring, new and emerging patterns of data integration, as well as data integration technology that you can buy today that lives up to these new expectation