Implementing Star and Snowflake Schemas in Healthcare Data Warehousing
Abstract: Data warehouses integrate and analyze large databases to inform healthcare analytics decisions. Data warehouse architecture influences performance, scalability, and usability. Popular data warehousing schemas are Star and Snowflake. This paper compares healthcare data warehousing schemas. The star schema is used for query efficiency and simplicity in fast, simple contexts. Normalized snowflake schemas are more complex but space-efficient, making them helpful for intricate data relationships and exact reporting. This study compares various schemas in healthcare contexts, analyzes implementation tactics, and offers tips on optimizing their performance to support essential healthcare choices.
Keywords: Star schema, Snowflake schema, Healthcare data warehousing, Data warehouse architecture, Healthcare analytics, Data integration, Schema optimization
How to Cite?: Santosh Kumar Singu, "Implementing Star and Snowflake Schemas in Healthcare Data Warehousing", Volume 13 Issue 11, November 2024, International Journal of Science and Research (IJSR), Pages: 237-241, https://www.ijsr.net/getabstract.php?paperid=SR241030061006, DOI: https://dx.doi.org/10.21275/SR241030061006