A metadata-driven ETL framework using Azure Data Factory boosts scalability, flexibility, and security in integrating diverse ...

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Project Overview This project demonstrates a hybrid ETL (Extract, Transform, Load) pipeline that integrates cloud-based sources (AWS S3, REST APIs) and on-premise/Hadoop-based data stores. The ...

Overview This project automates an ETL (Extract, Transform, Load) workflow using Google Cloud Dataproc and PySpark to process data from the public Iowa Liquor Sales dataset stored in BigQuery. The ...