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  1. Csv-To-Parquet-And-Data-Reporting-Pipeline Csv-To-Parquet-And-Data-Reporting-Pipeline Public

    This project extracts data having 800k records from CSV in the data factory and convert it to parquet based data and finally create a PowerBI report of that parquet based data.

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  2. Data-Cleaning-Pipeline-ETL Data-Cleaning-Pipeline-ETL Public

    This project extracts data from Azure datalake gen 2 storage, transforming it and then transferring it to SQL database.

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  3. Data-Filtering-Pipeline-ETL Data-Filtering-Pipeline-ETL Public

    This Project Extracts supply chain data from csv file having 180k records and more than 40 columns from the Azure Datalake Gen2 storage account and do some dataanalysis with Python(Pandas) to find …

    Jupyter Notebook 1

  4. Datalake-To-Database-Via-DataBricks Datalake-To-Database-Via-DataBricks Public

    This project extracts data from Datalake and then transfer to Azure SQL Database via Azure DataBricks in Python(Pyspark).

    Jupyter Notebook 1