Tiered storage involves categorizing data into different layers or "tiers" based on criteria such as frequency of access, age, and importance. These tiers typically include:
Hot Storage: This tier holds data that is frequently accessed and requires high performance. Examples include recent campaign metrics and active subscriber lists. Warm Storage: This tier is for data that is accessed occasionally. This could include data from past campaigns that are still relevant for analytics and reporting. Cold Storage: This tier stores data that is rarely accessed but must be retained for historical or compliance purposes, such as old engagement metrics and unsubscribed lists.