Analytic storage costs rise because rarely used history sits on the same expensive tier as hot dashboards. What architecture practice should be applied?
Select an answer to reveal the explanation.
Short Explanation
You don’t keep winter coats in the oven just because the kitchen is warm. Hot dashboard data earns the fast, pricey shelf; cold history can live on cheaper archival tiers matched to how often it’s touched.
Full Explanation
Analytic architecture should include lifecycle and storage tiering that map access frequency and retention to cost and performance classes. Keeping cold historical data on hot tiers inflates spend without improving user outcomes. Tiering policies, paired with retention rules, are standard non-functional design for sustainable analytic estates.