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November 16, 2010

A New Approach to Data Integration

Filed under: Data Integration — Katherine Vasilega @ 2:27 am

Many companies still consider data integration in the Cloud a frightening concept. Businesses feel insecure when giving up a bit of control over their data to services that are remotely hosted. However, data integration-as-a-service is a powerful tool, which has not been used to its full extent yet. There are four driving forces behind it that make me think that data integration in the Cloud is here to stay.

Self-provisioning:
You are able to easily launch a data integration engine, without the on-premises software installation and configuration. This removes the latency between the need for the technology and actually leveraging this technology.

Scalability:
Data integration solutions in the Cloud can be scaled up or scaled down in accordance with your business needs. Traditional data integration solutions typically limit scalability to the capacity of their platforms. The cloud data integration model allows additional instances being allocated or decommissioned anytime.

Self-healing:
Companies don’t have to constantly apply updates and changes to data integration engines. As the core engine resides on a centralized platform, updates and fixes are made without additional costs and breaks in its operation by a data integration-as-a-service provider. Additionally, the multitenant version of the technology is always the most current and the healthiest one.

Agility: With Cloud data integration solutions, companies are able to change their solutions quickly, when their business requirements are modified. The real power that Cloud computing provides is an ability to quickly gain access to top technologies and quickly adjust them to meet the exact needs of the business.

Data integration in the Cloud provides a clear strategic advantage. It looks like the movement to the Cloud will be more evolutionary than revolutionary, and the need for data integration will grow progressively.

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