Industry
Scaling for MHHS: how Octopus Energy achieved a 50x cost reduction in margin data engineering
Octopus Energy reduced margin data engineering costs by 50x through scaling improvements implemented on the Databricks platform for MHHS (Metering, Half-hourly Settlement) operations. The case study d
Octopus Energy reduced margin data engineering costs by 50x through scaling improvements implemented on the Databricks platform for MHHS (Metering, Half-hourly Settlement) operations. The case study details their optimization approach to handling large-scale energy market data processing and cost efficiency techniques. This demonstrates practical data engineering optimization for the utilities sector, specifically addressing the computational demands of half-hourly metering systems in energy trading.
Source: Databricks | 2026-05-23