An architect can design for resilience in a system with high data veracity requirements by:
1. Establishing data quality standards: The architect should define standards for data quality in the system, ensuring that all data is accurate, complete, and reliable.
2. Implementing data verification checks: The system should have robust checks in place to verify the accuracy of the data. This can include data validation checks, data integrity checks, and data consistency checks.
3. Building redundancy and failover mechanisms: The system should have redundancy built-in to ensure that data is always available, even in the event of a failure. Failover mechanisms should be in place to ensure that the system can quickly recover from any faults.
4. Encrypting data: The architect should ensure that all data is encrypted to prevent unauthorized access and data breaches.
5. Conducting disaster recovery planning: The architect should have a disaster recovery plan in place to ensure that data is recoverable in the event of a system failure.
6. Collaborating with stakeholders: The architect should work closely with stakeholders to ensure that their requirements for data quality and veracity are met. This can include regular review and testing of the system to ensure that it is meeting their needs.
Overall, designing for resilience in a system with high data veracity requirements requires a deep understanding of the data and the stakeholders who will be using it. The architect must be able to anticipate potential risks and have contingencies in place to ensure that the system remains secure, reliable, and available at all times.
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