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Advanced Analytics with Snowflake and Power BI

Authors:

Srinivasa Rao Karanam

Srinivasarao.karanam@gmail.com
New Jersey, USA

Abstract: The demand for advanced analytics and near real-time insights has intensified across industries. Organizations are increasingly turning to modern data platforms and powerful business intelligence tools to streamline their analytical processes and drive decision-making. Snowflake has cemented its position as a leading cloud data platform that enables elastic compute scaling, secure data sharing, and powerful governance features. Simultaneously, Microsoft’s Power BI continues to evolve as one of the most widely adopted business intelligence and analytics solutions. The synergy between Snowflake and Power BI is stronger than ever, combining Snowflake’s scalable compute architecture and data governance capabilities with the robust visualization and modeling features of Power BI. By exploring these topics, one can understand why a Snowflake–Power BI integration can provide a powerful and flexible solution for modern data analytics. This article assumes a baseline knowledge of both Snowflake and Power BI, although key concepts are introduced for clarity.

Keywords: Snowflake, Power BI, Star Schema, Dynamic Tables, Data Governance, Snowflake Marketplace, Row-Level Security, Data Masking, Near Real-Time Analytics, Cloud Data Warehousing