Hot-warm-cold data tiering for trade records automatically migrates transaction data across storage tiers based on access frequency and age, moving recent high-access trades to fast storage and older records to cheaper archive storage to optimize cost and performance.
How It Works in Practice
- 1Configure automated lifecycle policies that migrate trade records based on settlement date, last access timestamp, and regulatory classification
- 2Monitor access patterns continuously to adjust tier boundaries and optimize cost-performance ratios based on actual usage analytics
Common Pitfalls
MiFID II and Dodd-Frank require specific trade data to remain readily accessible for regulatory examinations, potentially preventing migration of certain record types to cold storage
Key Metrics
| Metric | Formula |
|---|---|
| Storage Cost Reduction | (Baseline storage cost - Tiered storage cost) / Baseline storage cost × 100 |
| Hot Data Retrieval Time | Average response time for trade lookups in current-day and T-90 data |
| Cold Data Availability | Time from retrieval request to data availability for records older than 2 years |
Related Terms
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