This project involves analyzing E-Commerce product review data to extract insights using a star schema approach in Azure Synapse Analytics, leveraging tools like Azure Data Lake Storage, Databricks, and Azure Data Factory for ETL operations. Key metrics such as product ratings, reviewer behavior, and temporal trends are identified and visualized using a Power BI dashboard to provide actionable insights for businesses.
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This project showcases an E-Commerce Analytics Dashboard built on Microsoft Azure, leveraging Azure Data Factory, Databricks, Synapse Analytics, PySpark, and SQL. It includes automated pipelines for ingesting and processing product review data, transforming it into actionable insights through Power BI visualizations.
saivivek55/End-to-End-E-commerce-Product-Data-Exploration-System-on-Microsoft-Azure
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This project showcases an E-Commerce Analytics Dashboard built on Microsoft Azure, leveraging Azure Data Factory, Databricks, Synapse Analytics, PySpark, and SQL. It includes automated pipelines for ingesting and processing product review data, transforming it into actionable insights through Power BI visualizations.
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