Architectural Resilience in Enterprise Data Systems: A Comparative Analysis of Data Vault 2.0, Dimensional Modeling, and Hybrid Frameworks in Secure, High-Volume Environments
DOI:
https://doi.org/10.37547/Keywords:
Data Vault 2.0, Data Warehousing, Dimensional Modeling, Big Data ArchitectureAbstract
Background: As enterprises grapple with exponential data growth and stringent regulatory requirements, the choice of data warehousing methodology has become critical. Traditional approaches, such as Inmon’s normalized models and Kimball’s dimensional models, face significant challenges regarding schema adaptability and real-time integration.
Methods: This study provides a comprehensive comparative analysis of Data Vault 2.0 against traditional data warehousing methodologies. Utilizing a theoretical framework based on recent performance metrics, security protocols, and automation capabilities, we evaluate these models within high-volume, secure environments, specifically focusing on healthcare and financial data contexts.
Results: The analysis indicates that while Dimensional Modeling retains superiority in query performance for end-user reporting, Data Vault 2.0 demonstrates superior resilience in data ingestion, auditability, and handling schema drift. The decoupling of business keys (Hubs) from context (Satellites) allows for non-destructive schema changes, a vital feature for modern agile data teams. Furthermore, the inclusion of Hash Keys facilitates massive parallel loading, significantly reducing ETL windows compared to sequence-based surrogate keys.
Conclusion: We conclude that a hybrid approach—leveraging Data Vault for the Enterprise Data Warehouse (EDW) layer and Dimensional Modeling for the Data Mart layer—offers the optimal balance of agility and performance. Additionally, emerging technologies such as Large Language Models (LLMs) and automated prompt engineering are identified as key accelerators for reducing the complexity of Data Vault implementation, enabling more robust and secure data ecosystems.
References
1. Isa, R. M., Abdullah, L. N., Hamzah, N., & Arshad,
R. (2008). The typology of intellectual capital and knowledge management in Malaysian hotel
industry. Journal of Human Resource and Adult Learning, 4(2), 103–114.
2. Iheriohanma, E. B. J., & Chukwuma, U. C. (2009). The development of human capital and the challenges of knowledge-based production: The Nigerian situation. Interdisciplinary Journal of Contemporary Research in Business, 1(8), 8–21.
3. Jardon, C. M., & Martos, M. S. (2012). Intellectual capital as competitive advantage in emerging clusters in Latin America. Journal of Intellectual Capital, 13(4), 462–481.
4. Khalique, M., Bontis, N., Shaari, J. A. N., & Isa, A.
H. M. (2015). Intellectual capital in small and medium enterprises in Pakistan. Journal of Intellectual Capital, 16(1), 224–238.
5. Khalique, M., Isa, A. H. M., & Shaari, J. A. N. (2013). Predicting the impact of intellectual capital management on the performance of SMEs in electronics industry in Kuching, Sarawak. IUP Journal of Knowledge Management, 11(4), 53–61.
6. Khalique, M., Isa, A. H. M., & Shaari, J. A. N., & Ageel, A. (2011a). Challenges faced by the small and medium enterprises in Malaysia: An intellectual capital perspective. International Journal of Current Research, 33(6), 398–401.
7. Khalique, M., Isa, A. H. M., & Shaari, J. A. N., & Ageel, A. (2011b). Role of intellectual capital on the organizational performance of electrical and electronic SMEs in Pakistan. International Journal of Business and Management, 6(9), 253–257.
8. Opler, T., Pinkowitz, L., Stulz, R., & Williamson,
R. (1999). The determinants and implications of corporate cash holdings. Journal of Financial Economics, 52, 3–46.
9. Padachi, K. (2006). Trends in working capital management and its impact on firms’ performance: An analysis of Mauritian small manufacturing firms. International Review of Business Research Papers, 2(2), 45–58.
10. Peel, M. J., & Wilson, N. (1994). Working capital and financial management practices in the small firm sector. International Small Business Journal, 14(2), 52–68.
11. Peng, J., & Zhou, Z. (2019). Working capital optimization in a supply chain perspective. European Journal of Operational Research, 277, 846–856.
12. Shim, J. K., & Siegel, J. G. (2008). Financial
management. Barron’s.
13. Shin, H. H., & Soenen, L. (1998). Efficiency of working capital and corporate profitability. Financial Practice and Education, 18(2), 37–45.
14. Tsuruta, D. (2019). Working capital management during the global financial crisis: Evidence from Japan. Japan and the World Economy, 49, 206–219.
15. Ukaegbu, B. (2014). The significance of working capital management in determining firm profitability: Evidence from developing economies in Africa. Research in International Business and Finance, 31, 1–16.
16. Van Horne, J. C., & Wachowicz, J. M. (2004). Fundamentals of financial management. Prentice Hall.
17. Weinraub, H. J., & Visscher, S. (1998). Industry practice relating to aggressive conservative working capital policies. Journal of Financial and Strategic Decisions, 11(2), 11–18.
18. Kovalchuk, A. (2025). Complex model of business consulting for small and medium-sized enterprises. Theory, methodology and practice of implementation. https://doi.org/10.25313/kovalchuk-monograph-2025-90
19. Zimon, G. (2018). Influence of group purchasing organizations on financial situation of Polish SMEs. Oeconomia Copernicana, 9(1), 87–104.
20. Zimon, G. (2019). The impact of quality management on inventories in commercial enterprises operating within group purchasing organizations. Problems and Perspectives in Management, 17(3), 362–369.
21. Zimon, G. (2020). Management strategies of working capital in Polish services providing companies. WSEAS Transactions on Business and Economics, 17, 225–230.
22. Zimon, G., & Zimon, D. (2019). An assessment of the influence of nominalized quality management systems on the level of receivables in enterprises operating in branch group purchasing organizations. Quality – Access to Success, 20(169), 47–51.
Downloads
Published
Issue
Section
License
Copyright (c) 2025 Dr. Marvion L. Trevik
This work is licensed under a Creative Commons Attribution 4.0 International License.
