White‑Box Cost Governance in Big Data: Engine, Data Warehouse, and Tool Optimizations
This article presents a year‑long, white‑box cost‑governance practice for big‑data platforms, detailing the data‑governance framework, engine auto‑tuning (HBO), compression algorithm replacement, operator analysis, data‑warehouse white‑boxing, duplicate‑computation reduction, link‑depth minimisation, automation of routine governance, benefit analysis, and future plans.
