A global CPG leader modernized its data ingestion architecture with a metadata-driven framework built on Databricks Lakeflow Jobs. By replacing fragmented legacy ETL processes, the company reduced pipeline development time by 80%—from 36 hours to just 8—and enabled data teams to onboard new sources in hours instead of weeks. This article explores how MathCo’s metadata-driven approach streamlined data ingestion, enhanced scalability, and empowered enterprise-grade data transformation across manufacturing, supply chain, and sales channels.
Topic: AI/ML
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