Data is a stumbling block for most multicloud deployments

Data issues are not new: data integration, data security, data management, and defining single sources of truth. However, what is new is combining these issues with multicloud deployments. Many of these problems can be avoided with a bit of upfront planning and using common data architecture best practices that have been understood for years.

The core problem, as I see it, is enterprises attempting to lift and shift data to multicloud deployments without good forethought around the common problems that are likely to arise:

Forming data silos. The use of multiple cloud services can result in isolated data silos, making it difficult to integrate and manage data across multiple platforms. This should come as no surprise to anyone, but in many respects, multicloud has made data silos more numerous.

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Data issues are not new: data integration, data security, data management, and defining single sources of truth. However, what is new is combining these issues with multicloud deployments. Many of these problems can be avoided with a bit of upfront planning and using common data architecture best practices that have been understood for years.

The core problem, as I see it, is enterprises attempting to lift and shift data to multicloud deployments without good forethought around the common problems that are likely to arise:

Forming data silos. The use of multiple cloud services can result in isolated data silos, making it difficult to integrate and manage data across multiple platforms. This should come as no surprise to anyone, but in many respects, multicloud has made data silos more numerous.

To read this article in full, please click here