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What is Data Platform Resilience

Definition

Data platform resilience is the ability of a data platform to keep operating and recover quickly through failures, disruptions, and disasters, achieved through redundancy, backups, failover, and tested recovery so data and analytics remain available when problems strike.

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Keeps data and analytics available through failures and disasters
Enables fast recovery via redundancy, backups, and failover
Reduces business impact of outages and disruptions
Builds confidence through tested recovery procedures

Real World Example

A financial firm designs its data platform for resilience with replicated storage, automated failover, and regularly tested disaster recovery, so a data-centre outage causes only seconds of disruption rather than days of downtime.

FAQs

What makes a data platform resilient?

Redundancy, backups, failover, and tested recovery procedures that keep it operating and recovering through disruptions.

Why is resilience important?

Data and analytics underpin operations, so outages cause real business impact that resilience minimises.

How is resilience validated?

Through regularly tested backups, failover drills, and disaster-recovery exercises, not just assumed configurations.