Scaling for MHHS: how Octopus Energy achieved a 50x cost reduction in margin data engineering
Databricks1509 字 (约 7 分钟)
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Octopus Energy reduced margin data engineering costs by 50x to handle 48x data growth from UK’s MHHS policy, using a three-stream architecture and Delta Lake CDF for incremental processing—cutting daily rows from 25B to 300M.
入选理由：采用三流分离架构（Settlement/Half-Hourly/Monthly）适配不同结算粒度，避免单体流水线重复处理未变更数据。
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