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azure-data-lake-storage-gen2

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SayamAlt / Formula-1-Data-Ingestion-Transformation---ETL-Pipeline

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This project demonstrates a complete ETL pipeline for Formula 1 racing data using Azure Databricks, Delta Lake, and Azure Data Factory. It covers data ingestion, transformation with PySpark and Spark SQL, data governance with Unity Catalog, and visualization through Power BI. Designed to showcase real-world data engineering workflows in Azure.

data-transformation data-engineering spark-streaming data-ingestion spark-sql spark-mllib microsoft-azure databricks-notebooks azure-databricks delta-lake workflow-orchestration etl-pipelines azure-data-lake-storage-gen2
  • Updated Nov 14, 2024
  • Python

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