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February 4, 2010

Cloud Data Integration Complexities

Filed under: Data Integration — Olga Belokurskaya @ 10:38 am

Small and mid-sized companies have already appreciated the opportunities for business that cloud offers, such as simplified the work with applications, the possibility to cut hardware costs, management costs, etc. However, large enterprises, though showing interest in cloud offerings, remain less active in cloud adoption. The reason is that the concept of cloud is relatively young, and there are challenges cloud adopters are likely to face.

Data integration between cloud applications and in-house apps and systems is, probably, one of the biggest challenges. Simply moving data to the cloud will not bring any value, as without integrating it with the on-premise data an enterprise will have just two separate environments containing unsynchronized data. There are several factors that complicate data integration with the cloud:

  • Interoperability is a pain for cloud platforms. They emerge fast, and interoperability is not taken into account. This complicated data integration initiative for enterprises, as the choice of the tools will depend on the platform (so if more than one platform chosen, there’s problem).
  • Another thing is that cloud data integration requires rather new approaches and data integration mechanisms. Thus there will be a demand for new data integration tools, as well.
  • Moreover, different cloud platforms have different levels of security. As data integration between the Cloud and on-premise applications means moving sensitive data across them (and the amount of data will be increasing), there should be developed security standards to protect that data in transit.

The above complexities keep large enterprises from adopting cloud offerings as willingly as small and mid-sized companies do.

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