UNIFIED E-COMMERCE ANALYTICS FRAMEWORK WITH ONPREMISES DATA INTEGRATION AND AZURE CLOUD

The rapid growth of e-commerce has led to an explosion of transactional and customer interaction data.Traditional on-premises infrastructures often struggle to manage this scale due to limited scalability, lack of real-time capabilities, and weak governance mechanisms.To address these challenges, this study presents a cloud-based analytics framework that integrates structured data from SQL Server with semi-structured clickstream logs.The data pipeline is orchestrated through Azure Data Factory and stored in Azure Data Lake Storage Gen2.Data transformation follows the Medallion Architecture in Azure Databricks, while Unity Catalog enforces governance and secure access.Power BI dashboards deliver interactive visualizations for decision-making.The proposed solution demonstrates seamless integration of heterogeneous data, improved data quality, and scalable analytics, providing organizations with a clear path to migrate from legacy systems to cloud-native platforms.

Publication Details

Journal
International Journal of Progressive Research in Engineering Management and Science
Published
2025-08-30
DOI
https://doi.org/10.58257/ijprems43441
Primary Topic
Big Data and Business Intelligence
Type
article
Field-Weighted Citation Impact
0.00
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article

UNIFIED E-COMMERCE ANALYTICS FRAMEWORK WITH ONPREMISES DATA INTEGRATION AND AZURE CLOUD

International Journal of Progressive Research in Engineering Management and Science
Big Data and Business Intelligence
article

UNIFIED E-COMMERCE ANALYTICS FRAMEWORK WITH ONPREMISES DATA INTEGRATION AND AZURE CLOUD

article en

Abstract

The rapid growth of e-commerce has led to an explosion of transactional and customer interaction data.Traditional on-premises infrastructures often struggle to manage this scale due to limited scalability, lack of real-time capabilities, and weak governance mechanisms.To address these challenges, this study presents a cloud-based analytics framework that integrates structured data from SQL Server with semi-structured clickstream logs.The data pipeline is orchestrated through Azure Data Factory and stored in Azure Data Lake Storage Gen2.Data transformation follows the Medallion Architecture in Azure Databricks, while Unity Catalog enforces governance and secure access.Power BI dashboards deliver interactive visualizations for decision-making.The proposed solution demonstrates seamless integration of heterogeneous data, improved data quality, and scalable analytics, providing organizations with a clear path to migrate from legacy systems to cloud-native platforms.

International Journal of Progressive Research in Engineering Management and Science
Openalex Percentile: Top 62%
Big Data and Business Intelligence
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UNIFIED E-COMMERCE ANALYTICS FRAMEWORK WITH ONPREMISES DATA INTEGRATION AND AZURE CLOUD · International Journal of Progressive Research in Engineering Management and Science (2025) | TGRS Research Map | TGRS