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Geoff Soon , Managing Director of South Asia , Snowflake
However , companies won ’ t realize the real value of adopting multiple clouds until cross-cloud capability exists to enable secure data sharing across cloud providers and regions . There is much discussion about where data should be stored and retrieved , from an analytics viewpoint . One thing is for sure , that in the modern era , there is an awful lot of data floating around that might be useful . While data lakes are a prime example of storing masses of data in cloud storage and retrieving it via different means , the next question is – what happens if we have data that is being generated across multiple cloud solutions or in different geographies ? Do we move all this data to a single data lake or leave it in the different clouds where it already exists ?
Here are some of the major challenges that businesses might face when implementing a multi-cloud strategy . capability is the answer . Two basic requirements exist for cross-cloud capability :
• A cloud-agnostic layer must provide a unified data management platform , which sits on top of each cloud region and all cloud infrastructure regardless of which cloud platforms are used . By providing identical functionality across all cloud platforms , the data management platform enables a cost-effective and seamless method to share data securely .
• Data must move anywhere easily , which requires a high-throughput communication ‘ mesh ’ that enables complete data portability .
With cross-cloud capability , organizations will be able to securely share data across regions and cloud accounts while adhering to the same rules of data
As soon as data exists in a public cloud , cloud silos are created . As each major cloud provider has created a unique offering with proprietary application programming interfaces ( APIs ) for data management , there is no easy way to copy or share data from cloud to cloud .
Making matters worse , it is hard to find DevOps employees who have the skill set to work in multiple clouds , which often leads to separate cloud teams within an organization ( yet another silo ).
Geographical distance also plays a role in creating data silos by region , especially for organizations that operate in multiple locations ( regions , countries and continents ) – cloud services work best when users are in close proximity . Lastly , data portability could be a problem for all organizations , including those that use
With cross-cloud capability , organizations will be able to securely share data across regions and cloud accounts while adhering to the same rules of data sharing .
open-source technologies and open data formats . Today , there is no easy way to lift multiple petabytes of data to change clouds , open source or otherwise .
Cross-cloud data sharing bridges the multi-cloud divide
The true benefits of a multi-cloud strategy will not materialize until data can be shared and replicated across clouds and regions . Fortunately , cross-cloud
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