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Metadata-Driven Architecture in Data Engineering
This article explains how data engineers can make their work more flexible and efficient using Metadata-Driven Architecture (MDA). It breaks down two methods: one using a central database (good for structured work like in Azure Data Factory) and another using external files (great for collaborative projects, especially with Databricks).
