How can I ensure compliance with retention requirements for data protection laws?
To ensure compliance with data protection laws and regulatory requirements, configuring GFS retention is highly recommended. GFS retention allows for long-term data retention by creating recovery points based on schedules (daily, weekly, monthly, yearly). This ensures that critical data is preserved for extended periods, which is essential for meeting legal, compliance, or audit requirements. Administrators should review the specific retention durations mandated by applicable laws and configure the GFS retention accordingly to align with these regulations.
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Retention Policies
What is retention? Retention refers to the process of managing backup data by defining rules or policies that specify how long recovery points should be retained and when older data should be deleted. This ensures efficient use of storage resources, ...
What is retention?
Retention refers to the process of managing backup data by defining rules or policies that specify how long recovery points should be retained and when older data should be deleted. This ensures efficient use of storage resources, compliance with ...
What is the recommended retention policy for VMware environments?
The recommended retention policy for VMware environments depends on your organization's specific needs and requirements: For Compliance and Long-Term Archival Needs: If your organization requires long-term data retention for compliance or regulatory ...
What is GFS Retention?
GFS (Grandfather-Father-Son) Retention is a long-term backup retention strategy that allows you to retain recovery points at different intervals, such as daily, weekly, monthly, and yearly, based on a specified schedule. It is designed to meet ...
How GFS retention is different from Basic Retention?
The key difference between GFS Retention and Basic Retention lies in the purpose and duration of the retention: GFS Retention is ideal for long-term archival, compliance, and keeping critical backup data at different levels (daily, weekly, monthly, ...