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Derek Harris

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Vision for the Future: The Evolution of the Data Integration Market

One of the major challenges organizations face today is how to bridge applications together in a way that enables data mobility

One of the major challenges organizations face today is how to bridge applications together in a way that enables true data mobility - integrating critical information across different business functions such as HR, sales, accounting, and customer support, so that all they key components of the organization can be preserved and shared among different application systems to drive greater business value.

A newly released video from Queplix called Vision for the Future: the Evolution of the Data Integration Market, provides an overview of first, second, and third generation data integration technologies, as well as the emergence of fourth generation, or Next Generation (NGEN), and the capabilities organizations should expect to see in 2012 and 2013.

The overview points out that, contrary to what most might believe, legacy or first generation ETL (extract, transform, load) technology is still predominantly used for data integration today. Further, many of the early integration cloud vendors are simply hosting 20-year old ETL technology in their one-year old clouds.

In sharp contrast, advanced data virtualization technology is powering third and fourth generation data integration products that represent the next wave. The Next Generation will be driven by a powerful convergence of data integration, management, virtualization, abstraction, persistent servers for  automated data quality and governance, cloud and on-premise systems, virtual master data management and more. With NGEN, organizations will achieve true data mobility.

To learn more, see http://bit.ly/oVVzv1.

More Stories By Derek Harris

Derek Harris Sr. is a senior technology writer and blogger with more than 20 years experience in journalism.

While covering a broad spectrum of technology segments, his focus is weighted on enterprise technologies in the data storage, security and infrastructure spaces.