Data Engineering Project on Covid19 Reporting – Using Azure Data Factory, Databricks, HDInsight, Azure Data Factory – An End to End ETL pipeline in addition to a Power BI report dashboard.

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Data Engineering Project on Covid19 - Using Azure Data Factory and other Azure services like Databricks, HDInsight - End to End ETL along with PowerBI report dashboard

This project follows the Extract, Transform, Load (ETL) approach, enabling users to seamlessly extract, load, and transform data, ultimately unlocking valuable insights. Our primary mission is to create an accessible and efficient data engineering project tailored for the analysis of COVID-19 data.

MA35 - Data Engineering Course: Creating ETL pipelines on Covid19 data

Data Engineering Project on Covid19 Reporting – Using Azure Data Factory and Databricks – An ETL pipeline.

Data Engineering Project on Covid19 - Using Azure Data Factory and other Azure services like Databricks, HDInsight - End to End ETL along with PowerBI report dashboard

Data Engineering Project on Covid19 Reporting – Using Azure Data Factory, Databricks, HDInsight, Azure Data Factory – An End to End ETL pipeline in addition to a Power BI report dashboard.

COVID 19 Data Pipeline - Azure Data Engineering: A complete end-to-end ETL pipeline to fetch COVID19 daily and weekly data from API, transform and load to SQL database in Azure using Data Factory, Databricks, Key-Vaults and Data Lake

COVID 19 Data Pipeline - Azure Data Engineering: A complete end-to-end ETL pipeline to fetch COVID19 daily and weekly data from API, transform and load to SQL database in Azure using Data Factory, Databricks, Key-Vaults and Data Lake