Dev Tools · 2h ago
Build Production ML Pipelines on Azure Databricks with Spark, Delta Lake, MLflow
This tutorial demonstrates building a production-grade feature engineering pipeline on Azure Databricks using Apache Spark, Delta Lake, and MLflow. It follows the Medallion Architecture with Bronze, Silver, and Gold layers for scalable data processing. The use case is customer churn prediction, but patterns apply to any ML pipeline.
Meridian48 take
While the tutorial is solid, it's a standard pattern; the real value is in the code examples and integration details for practitioners.
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Azure Databricks for MLOps and Feature Engineering at Scale with Apache Spark, Delta Lake, and MLflow →
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