OPTIMIZING LARGE-SCALE DATA LOADING THROUGH TABLE PARTITIONING

Authors

  • Venkata Prasanna Kumar Pentakota Taproot Solutions Inc, USA Author

Keywords:

Healthcare Data Management, Table Partitioning, Parallel Processing, Enterprise Architecture, Performance Optimization

Abstract

Humana's successful implementation of optimized data loading processes through table partitioning and parallel execution strategies showcases a transformative approach to healthcare data infrastructure. The organization addressed critical challenges in data processing, system performance, and resource utilization through comprehensive analysis, strategic architectural design, and phased deployment. The implementation delivered significant improvements across operational efficiency, business impact, and technical capabilities, demonstrating how modern healthcare organizations can effectively manage large-scale data processing while maintaining compliance with industry regulations and ensuring high availability of critical healthcare services.

References

Dr. Sonal Kedar, "Healthcare Data Management: What It Is, Its Challenges, and Opportunities," MobiSoft, 2024. Available: https://mobisoftinfotech.com/resources/blog/healthcare-data-management-challenges-and-solutions

Danielle Newby, et al., "Optimising the use of electronic medical records for large scale research in psychiatry," Transl Psychiatry, Volume 14, 2024. Available: https://www.nature.com/articles/s41398-024-02911-1

Sushil Kumar Singh, et al., "Optimizing healthcare data quality with optimal features driven mutual entropy gain," Expert Systems, Volume 42, Issue 2, 2024. Available: https://onlinelibrary.wiley.com/doi/10.1111/exsy.13737

Actian, "What is Health Data Management?." 2024. Available: https://www.actian.com/what-is-health-data-management/

S S Jha, "Big Data Analytics in Healthcare: A Comprehensive Guide," LinkedIn, 2024. Available: https://www.linkedin.com/pulse/big-data-analytics-healthcare-comprehensive-guide-salil-s-jha-j1vkc

Silvano Herculano da Luz Júnior, et al., "Enterprise Architecture in Healthcare Systems: A systematic literature review," ResearchGate, 2020. Available: https://www.researchgate.net/publication/342944290_Enterprise_Architecture_in_Healthcare_Systems_A_systematic_literature_review

Amplitude, "Healthcare Product Benchmarks in 2024." Available: https://amplitude.com/benchmarks/healthcare

Jack Phillips, et al., "Measuring ROI in Healthcare." ROI Institute, Chapter 1, 2021. Available: https://roiinstitute.net/wp-content/uploads/2021/09/Measuring-ROI-in-Healthcare_chapter-one.pdf

Maria, "The List of Best Practices for Healthcare Data Warehousing," 314e Healthcare Data Analytics, 2023. Available: https://www.314e.com/healthcare-data-analytics/blog/the-list-of-best-practices-for-healthcare-data-warehousing/

A M Stefan, et al., "Empowering Healthcare: A Comprehensive Guide to Implementing a Robust Medical Information System-components, Benefits, Objectives, Evaluation Criteria, and Seamless Deployment Strategies," Appl. Syst. Innov., Volume 7, Issue 3, 2024. Available: https://www.mdpi.com/2571-5577/7/3/51

CPrime, "The Future of AI in Healthcare: Trends and Innovations," 2024. Available: https://cprime.com/resources/blog/the-future-of-ai-in-healthcare-trends-and-innovations/

Avolution, "Enterprise Architecture for Healthcare & Pharmaceuticals." Available: https://www.avolutionsoftware.com/use-cases/healthcare-enterprise-architecture/

G Kaur, "Optimizing Patient Care: Insights into Modern Healthcare Systems," Asian Hospital & Healthcare Management. Available: https://www.asianhhm.com/interviews/gurrit-kaur

Published

2025-02-05

How to Cite

Venkata Prasanna Kumar Pentakota. (2025). OPTIMIZING LARGE-SCALE DATA LOADING THROUGH TABLE PARTITIONING. INTERNATIONAL JOURNAL OF RESEARCH IN COMPUTER APPLICATIONS AND INFORMATION TECHNOLOGY (IJRCAIT), 8(1), 1433-1451. http://ijrcait.com/index.php/home/article/view/IJRCAIT_08_01_106