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azure-data-factory

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"Explore Formula 1 data analytics with this project. Leveraging the Ergast API, it utilizes Databricks Spark for ingestion, transformation, and analysis. ADLS acts as the storage layer, while Power BI visualizes the ADLS presentation layer. Uncover insights in the world of Formula 1 through powerful data analytics."

  • Updated Jul 6, 2023
  • Python

This repository contains code for an end-to-end IoT data pipeline using Azure services. It ingests, processes, and stores IoT device data from AWS S3 to Azure Data Lake Storage and Azure SQL Database, leveraging Azure Data Factory and Azure Functions for seamless integration and automation.

  • Updated Mar 26, 2024
  • Python

This project demonstrates a comprehensive data engineering pipeline capable of transforming vast amounts of historical F1 data into valuable insights. By leveraging modern cloud-based technologies and automating key processes, the project is designed to be both scalable and adaptable to future requirements.

  • Updated Aug 26, 2024
  • Python

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