Implementing Star and Snowflake Schemas in Healthcare Data Warehousing
International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Call for Papers | Fully Refereed | Open Access | Double Blind Peer Reviewed

ISSN: 2319-7064


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Research Paper | Information Technology | United States of America | Volume 13 Issue 11, November 2024 | Popularity: 5.2 / 10


     

Implementing Star and Snowflake Schemas in Healthcare Data Warehousing

Santosh Kumar Singu


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


Edition: Volume 13 Issue 11, November 2024


Pages: 237 - 241


DOI: https://www.doi.org/10.21275/SR241030061006


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Santosh Kumar Singu, "Implementing Star and Snowflake Schemas in Healthcare Data Warehousing", International Journal of Science and Research (IJSR), Volume 13 Issue 11, November 2024, pp. 237-241, https://www.ijsr.net/getabstract.php?paperid=SR241030061006, DOI: https://www.doi.org/10.21275/SR241030061006

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