"The concept of a Snowflake Storage Lifecycle Policy is well-established within the realm of cloud computing. This process has long been utilized by major cloud storage providers. Essentially, it involves a set of procedures and policies designed to manage data archival and retention. When data reaches a predefined archival threshold, it is transferred to more cost-effective storage within Snowflake. Eventually, the data expires and is moved to Snowflake's purging cycle, ensuring efficient and economical storage management."
"Storage Lifecycle Policy triggers every 24 hours. When establishing a storage lifecycle policy, you have the option to define an archival period (in days). If specified, Snowflake transfers table rows that align with the policy expression to a more cost-effective storage tier for the designated duration before ultimately expiring the rows. Additionally, Snowflake activates change tracking on any tables associated with the policy.Once rows are archived to a lower-cost storage tier, they can no longer be directly queried. However, during the archival"
Snowflake Storage Lifecycle Policy automates archival and purging of aged table data to reduce storage costs. The policy runs every 24 hours and allows specifying an archival period in days. When rows meet the policy expression and archival period, Snowflake transfers them to a lower-cost storage tier for the designated duration and later expires them into the purging cycle. Snowflake also enables change tracking on tables under a lifecycle policy. Archived rows cannot be queried directly while archived. Implementing lifecycle policies enables organizations to enforce retention rules, lower ongoing storage expenses, and streamline long-term data management.
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