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description: Dow built a Carbon Footprint Ledger (CFL) on the Databricks Data Intelligence Platform to calculate verifiable Product Carbon Footprints (PCFs) across its...
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# How Dow Built a Carbon Footprint Ledger on Databricks to Accelerate Sustainability at Scale

**[databricks](https://daily.dev/sources/databricks)** · 5 min read · 0 upvotes · 0 comments

## Summary

Dow built a Carbon Footprint Ledger (CFL) on the Databricks Data Intelligence Platform to calculate verifiable Product Carbon Footprints (PCFs) across its global manufacturing portfolio. The system integrates supply-chain, sustainability, and operations data using Apache Spark for distributed processing, Delta tables for ACID-compliant storage and audit trails, Unity Catalog for governance, and MLflow for deploying an optimization model that identifies the lowest-greenhouse-gas production pathways. The platform reduced end-to-end PCF calculation time from weeks to a fraction of that, enabling Dow to issue third-party-assured carbon certificates aligned with ISO 14067 and the GHG Protocol Product Standard.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://www.databricks.com/blog/how-dow-built-carbon-footprint-ledger-databricks-accelerate-sustainability-scale>

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---

Tags: [#machine-learning](https://daily.dev/tags/machine-learning), [#data-engineering](https://daily.dev/tags/data-engineering), [#apache-spark](https://daily.dev/tags/apache-spark), [#databricks](https://daily.dev/tags/databricks)

[View this post on daily.dev](https://daily.dev/posts/how-dow-built-a-carbon-footprint-ledger-on-databricks-to-accelerate-sustainability-at-scale-9f7e4hcja)

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