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2010 Report: Application Integration and Data Integration for Cloud and On-Premise ApplicationsA Review of Technologies and Trends (November 02, 2010)
In this report on application integration and data integration for cloud and on-premise applications, Queplix focuses on the enabling software technologies, markets and vendors and only covers hardware minimally as required. A substantial number of authoritative sources were used to develop this report including industry analyst data, industry publications, vendor groups and associations and the publications or public comments of some of the major vendors in these communities. Vendor lists will be included in the next version of this report as will an expansion of the specific functionality of each integration technology. To download this report in its entirety, please visit http://bit.ly/9Y0lSj
Application integration and data integration activities support the timely and accurate exchange of consistent information between various business functions that support necessary business process. Application integration and data integration utilize a broad spectrum of technologies and processes. There is a broad continuum of enabling software technologies and the hardware necessary to support them. These terms describe the important connectivity between software applications and their underlying software infrastructure. Hardware components are also a factor in data center connectivity many of the data integration components come packaged with dedicated server(s) or special hardware buses for connectivity. Technologies and terms covered in this report include ETL (Extract, Transform and Load), EAI (Enterprise Application Integration), EII (Enterprise Information Integration), Cloud Integration, Data Virtualization and Master Data Management. Middleware is also discussed and covered. Enterprise Service Bus (ESB) technologies are not covered in this report.
This report considers carefully the differing requirements for cloud integration and on-premise integration. Cloud architectures can vary substantially and bring very different application and data integration challenges. Public clouds, private clouds, hybrid clouds and on-premise systems must all be considered as different environments, each unique, in consideration of potential integrations. The situation becomes much more complex when these environments must be bridged and can bring in issues involving security policy that must be addressed early in any project cycle.
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