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[Whitepaper] Medallion Architecture on Databricks : Implementation Best Practices

By Roz King, Chief Architect, Frisco Analytics

Summary

As more organizations adopt the lakehouse paradigm on Databricks, the need for structured, governed, and performance-optimized data has never been greater.

That’s where the Medallion Architecture comes in, a layered data design pattern built to scale with the lakehouse. But implementing it effectively requires more than just raw-to-curated workflows. It requires discipline in data structuring, automation, governance, and optimization.

We break down what it really takes to design and operate a production-grade Medallion Architecture using Delta Lake, Unity Catalog, Auto Loader, and DLT.

Key Topics Covered

Here’s a preview of what’s inside:

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  • How Bronze, Silver, and Gold layers should be structured for long-term scalability

  • Best practices for data quality, schema evolution, and transformation

  • How Unity Catalog centralizes governance across layers

  • Tools like Delta Live Tables, Auto Loader, and Photon that power automated, reliable ETL

  • Performance tuning techniques like Z-ordering, Liquid Clustering, and Low Shuffle Merge

  • Pitfalls to avoid—from duplicate logic to poor Gold layer modeling

  • When and why to extend to “Platinum” or domain-based architectures like Data Mesh

Why Choose LakeFusion for MDM?

  • Databricks-Native Integration:
    Built specifically for the Databricks platform, ensuring optimal performance and compatibility.
     
  • AI-Powered Entity Resolution:
    Utilizes advanced AI algorithms to accurately identify and merge duplicate records, creating a single source of truth.
     
  • Rapid Deployment:
    chieve full implementation in under six weeks, significantly faster than traditional MDM solutions.
     
  • Cost Efficiency:
    Streamlines MDM operations within Databricks, reducing the need for additional infrastructure and associated costs.
     
  • Scalability:
    esigned to handle large volumes of data, making it suitable for enterprises of all sizes.
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