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.

Integration of basic Covid-19 reporting data using Azure Data Factory to perform data ingestion, transformation, and storage activities. This goal of the project was to become familiar with Microsoft Azure technologies and is based on a similar project by cloudboxacademy (github.com/cloudboxacademy).

A data engineering solution using Azure Databricks and Azure Data Factory (ADF) for a real world problem of reporting Covid-19 trends and prediction of the spread of this virus.

End-to-end Azure Data Factory ETL pipeline for COVID-19 reporting. Includes ingestion (HTTP & ADLS), transformations (Filter, Select, Pivot, Lookup, Join), and loading to ADLS. ARM templates included for full deployment.

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

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

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This Project is tackles real world data engineering problems ingesting raw covid-19 raw, transforming it using various ADF components, along with Databricks and then loading it on Azure SQL Database for further analytics and Power BI reporting

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Azure Data Factory - Covid-19, EU EEA Reporting Project

Azure Data Factory pipeline for reporting Covid-19 incidents.

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Data Engineering Project for Covid-19 Reporting, Utilizing Azure Data Lake Storage, Azure Data Factory, Azure Databricks, and Azure SQL Database

Automated COVID-19 reporting dashboard using Azure Data Factory, SQL Server, and Power BI for real-time insights

This is a data engineering project in Azure Data Factory to load covid 19 data from ECDC and Eurostat website for reporting.

End-to-end COVID-19 analytics platform using Azure Data Factory, Databricks, and Power BI, supporting ETL, ML prep, and dashboard reporting with CI/CD via Azure DevOps.

Implementation of a data engineering solution using Azure Data Factory (ADF) for a real world problem of reporting Covid-19 trends and prediction of the spread of this virus.

An end-to-end COVID-19 data pipeline built with Azure Data Factory to automate data ingestion, transformation, and loading from external COVID-19 data sources. The project demonstrates orchestrating cloud-native data workflows, cleansing and structuring datasets, and preparing analytics-ready data for reporting and dashboards.

The project involved building a comprehensive data pipeline using Azure Data Factory to analyze Covid-19 data. It focused on ingesting, processing, and transforming data to support prediction and reporting on the pandemic's impact. The end goal was to provide insights into Covid-19 trends through data analysis and visualization.