A financial organization operates a database that processes transactions worth millions of dollars each hour. The database is backed up every hour on the hour. Given a proposed change to increase data analytics granularity, management requests a reassessment of the backup strategy to evaluate if the current 1-hour RPO is still appropriate. Which of the following factors is MOST relevant when re-evaluating the appropriateness of the current RPO?
The total storage capacity available for backups on the current infrastructure
The age of the current backup hardware infrastructure
The average time taken to perform a full backup during peak hours
The financial impact of data loss given the increased granularity of transactions
When reassessing the Recovery Point Objective (RPO) for a critical system like a transactional database, especially in the context of increased granularity in data analytics, the most relevant factor to consider is the potential financial impact of data loss. Given the database handles high-value transactions, even a small amount of data loss could be financially significant. Therefore, understanding the impact of data loss is crucial in determining whether the current RPO meets the business's tolerance for loss and if it should be reduced to ensure data integrity and maintain financial stability.
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What is Recovery Point Objective (RPO)?
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How does increased data granularity affect RPO?
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Why is the financial impact of data loss crucial in determining RPO?