Data challenges, such as data integration, data security, data management, and the establishment of single sources of truth, are not new. Combining these problems with multicloud deployments is novel, though. With a little forethought and the application of widespread, long-understood data architecture best practices, many of these issues can be avoided.
The main issue is when businesses seek to move data to multicloud deployments without carefully considering the typical issues that are likely to occur.
Creating data silos
It can be challenging to integrate and a number of cloud services, which might lead to isolated data silos. Nobody should be surprised, but multicloud has increased the number of data silos in various ways.
These need to be addressed using data integration techniques including utilising data integration technologies, data abstraction/virtualization, or other strategies that are currently widely known. Or simply avoid creating silos in your data storage systems.
Ignoring data security
The complexity of ensuring the protection of sensitive data across many cloud services frequently increases security threats.
It is crucial to have a solid data security plan in place that takes into account the particular security requirements of each cloud service without adding to the difficulty of handling data security. This frequently entails employing a central security manager or other technology that is available over the public cloud provider, also known as a supercloud or metacloud, to abstract native security functions. This layer of logical technology, which is located above the clouds, is a concept that is now in flux.
Not using centralised data management
If you try to handle everything manually, managing data across many cloud services can be a resource-intensive effort. A centralised system for managing data must be in place, able to handle various data sources and guarantee data consistency. Once more, this needs to be centrally managed and abstracted above native data management implementations and public cloud service providers. Data complexity must be managed according to your terms, not those of the data complexity itself. The latter is what the majority choose, which is a grave error.
The difficult thing about all of these problems is that they are incredibly solvable thanks to enabling technologies and proven solution patterns. Enterprises commit stupid errors by rushing to multicloud deployments as rapidly as they can, and then they fail to see the ROI from multicloud or cloud migrations in general. Self-inflicted injuries account for the majority of the harm.
Make sure you do your homework. Plan. Use the appropriate technologies. It is not difficult, and in the long run, it will save you and your company a tonne of time and money.