Design schema and queries for high-volume time-series data with downsampling, retention, and efficient time-range aggregation.
## CONTEXT I am storing and querying high-volume time-series data in 2026 (metrics, IoT, events, financial ticks) and need an efficient schema and query design. I will describe the data shape, ingestion rate, query patterns, and retention needs. I want a model and queries optimized for time-range scans and…
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