Here are a few reasons data tiers are needed.
1. Performance Optimization: Different tiers of data allow for optimized performance based on the specific needs of each tier. For example, high-priority or frequently accessed data can be stored in a high-performance tier with faster access times and processing capabilities. This ensures that critical data is readily available and can be processed quickly, resulting in improved operational efficiency.
2. Resource Allocation: Data tiers enable organizations to allocate resources such as storage, computing power, and bandwidth more efficiently. Not all data requires the same level of resources. By segregating data into different tiers, organizations can match resource allocation to the specific needs of each tier.
3. Data Retention Policies: Different types of data may have varying retention requirements based on legal, compliance, or business needs. Tiers of data facilitate the implementation of data retention policies.