End-to-end Cloud ETL workflow for a diabetes dataset: ingest raw data, validate schema, clean missing/outlier values, transform features, and export analysis-ready tables for reporting and EDA.
sql reporting data-transformation data-visualization data-cleaning data-pipeline azure-data-factory pyspark-notebook etl-pipeline azure-databricks data-analysis-sql medallion-architecture azure-data-lake-storage-gen2
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Updated
Apr 29, 2025 - HTML