Azure Data Pipeline for COVID Analytics

Project Overview

This project is designed to provide comprehensive insights into Covid19 data through a streamlined data processing and visualization pipeline using Azure Data Factory, Azure Data Lake, Azure SQL Database, and Microsoft Power BI.

Data Ingestion from Diverse Sources:

• Utilize Azure Data Factory's versatile Link Services to seamlessly ingest data from various sources, including HTTP URL services, Azure Data Lake Storage Gen2 (ADLS Gen2), and Azure Blob Storage.

Orchestrated Data Movement:

• Efficiently orchestrate end-to-end data pipelines, orchestrating the movement of data from source to Azure Data Factory, incorporating robust link services for smooth and reliable data flow.

Data Processing with Azure Data Factory:

• Leverage Azure Data Factory's powerful data processing capabilities to transform and cleanse the data, ensuring accuracy and consistency in preparation for downstream analysis.

Ingestion into Azure SQL Database:

• Employ Azure Data Factory pipelines to ingest processed data into Azure SQL Server, facilitating storage and accessibility for further analysis.

Visualization in Power BI:

• Enable insightful Covid19 analytics through seamless integration with Power BI, creating compelling dashboards to visualize key metrics such as covid cases and death counts.

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