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English(EN) Scaling for MHHS: how Octopus Energy achieved a 50x cost reduction in margin data engineering

Octopus Energy 通过 Databricks 管道改造将数据成本降低50倍

Octopus Energy 通过重新构建其保证金数据管道,显著降低了数据工程流程的成本并提高了效率。由于英国新法规 (MHHS) 导致数据量增加 48 倍,公司现有的架构预计将产生巨额额外成本。通过在 Databricks 上实施新系统,他们实现了每个结算日成本降低 50 倍,处理的行数减少 98.8%,并将数据新鲜度从每周提高到每天。 AI

影响 展示了如何优化数据工程基础设施以应对海量数据增长并降低运营成本。

排序理由 公司实施重大的基础设施变更,以应对监管数据量的增加并实现成本节约。[lever_c_demoted from significant: ic=1 ai=0.4]

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Octopus Energy 通过 Databricks 管道改造将数据成本降低50倍

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公司实施重大的基础设施变更,以应对监管数据量的增加并实现成本节约。[lever_c_demoted from significant: ic=1 ai=0.4]
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报道来源 [1]

  1. Databricks Blog TIER_1 English(EN) ·

    MHHS扩展:Octopus Energy如何实现保证金数据工程成本降低50倍

    The energy transition has a data problemThe UK's energy grid is in the middle of...