International Journal of Science, Engineering and TechnologyAuthors: Madhavi Rao
Abstract: The integration of SQL databases and SQL Server Integration Services (SSIS) with Power BI forms a robust ecosystem for end-to-end business intelligence (BI) solutions. Modern enterprises require seamless access to accurate, timely, and actionable insights to drive operational efficiency and strategic decision-making. SQL databases provide structured, high-performance data storage, while SSIS enables automated, scalable ETL (Extract, Transform, Load) pipelines that consolidate, clean, and enrich data from multiple sources. Power BI complements these capabilities by offering interactive dashboards, real-time reporting, and advanced visualization tools. This review explores the architectural design, data modeling strategies, and integration techniques necessary to build effective BI pipelines, emphasizing performance optimization, governance, and scalability. It also highlights industry applications, practical lessons from enterprise deployments, and challenges related to large datasets, organizational alignment, and hybrid cloud setups. By leveraging SQL, SSIS, and Power BI in concert, organizations can transform raw data into meaningful insights, support self-service analytics, and maintain compliance in complex business environments. The review further discusses advanced integration strategies, including Power Query enhancements and cloud-based ETL solutions, providing a comprehensive framework for building resilient, scalable, and actionable BI ecosystems.
DOI: http://doi.org/
