Data archival is the process of storing data in a structured manner for long-term retention, typically for compliance, reference, or backup purposes. This ensures that data is preserved and can be retrieved when needed.
It is a crucial data management strategy that helps optimize storage utilization. The primary goal of data archival should be to reduce storage costs for the team.
Why is Data Archiving Important?
Data Archival is important for to following reasons:
- Compliance
- Historical reference of data
- Reduce storage cost
- Helps in data recovery
- Optimises system performance
What is the difference between Data archival and Data retention?
Data archival and data retention are both data management practices, but they have different purposes.
Data archival focuses on storing data in a structured manner for long-term retention, typically for compliance, reference, or backup purposes. It ensures that data is preserved and can be retrieved when needed, while also optimizing storage utilization and reducing storage costs.
On the other hand, data retention refers to the period of time that data is kept, based on legal, regulatory, or business requirements. It involves determining how long data should be retained and ensuring that it is not deleted or altered during that time.
Both practices are important for effective data management and ensuring that organisations can meet their compliance and storage needs.
Read more about Data Archival here
Data Retention
