Building A Seamless Data Pipeline: Leveraging SSIS For Enterprise-Level Data Integration And Transformation

6 Oct

Authors: Rehan Akhtar

Abstract: Enterprise data integration is critical for enabling timely analytics, operational efficiency, and informed decision-making. This review explores the use of SQL Server Integration Services (SSIS) for building seamless, enterprise-level ETL pipelines. It examines architectural components, pipeline design principles, integration with heterogeneous on-premises and cloud-based data sources, and strategies for automation, scheduling, and monitoring. Case studies from finance, healthcare, and retail illustrate practical applications and measurable benefits. Emerging trends such as hybrid cloud adoption, AI-enhanced transformations, real-time ETL, and serverless architectures are also discussed, highlighting the evolution of SSIS pipelines toward scalable, intelligent, and resilient data integration frameworks. The review provides actionable guidance for enterprises seeking to optimize ETL workflows and implement future-ready data pipelines.

DOI: http://doi.org/10.5281/zenodo.17278825