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New standard for 'Zero-Copy Integration' proposed

Updated: Feb 3


Canada's CIO Strategy Council’s Standards Policy Committee is presently considering new proposals for developing new parts to their series of data governance standards, including a new standard for Zero Copy Integration.


Why this matters


Today, generating copies of sensitive data is a routine part of "integration", a process that's essential to the functioning of most systems and applications. The proposed standard for Zero Copy Integration seeks to eliminate copies from the design of new applications and systems by leveraging network-based architectures, such as those found in Data Fabric platform technology.


The introduction of data-as-a-network design represents a major step towards making collaborative intelligence and meaningful data ownership the "new normal" within digital service environments. Furthermore, the efficiencies that result from the copyless approach (up to 50% on digital transformation projects) stands to provide early adopters with a significant competitive edge.


Together with standards for the responsible use of transaction-based technologies such as AI/ML and blockchain the proposal for Zero Copy Integration could be foundational for the intelligent enterprise of the future.


Note: Canadian CIOs are invited to provide feedback to the CIO Strategy Council by sending an email to Matthew MacNeil, Director of Standards and Technology


Quotable quote


"By adopting “Zero Copy” methodologies, the datasets managed within the network can be owned and protected by individuals (or their custodians) with highly-granular access and quality settings that replace the need to host such controls within applications." - CIO Strategy Council, November 25, 2020


Source


Publisher: CIO Strategy Council

Author: Team

Link: CIO Strategy Council website


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The Data Collaboration Alliance is a nonprofit that's dedicated to a future where data is fully-controlled by its owners and a more inclusive generation of technologists are empowered to build data-centric solutions without the friction of complex data integration.

 

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