Federated Data Governance Framework for Ensuring Quality-Assured Data Sharing and Integration in Hybrid Cloud-Based Data Warehouse Ecosystems through Advanced ETL/ELT Techniques
Federated Data Governance Framework for Hybrid Cloud-Based Data Warehouse Ecosystems
International Journal of Computer Techniques – Volume 8 Issue 3, May – June – 2021
Abstract
As enterprises implement hybrid cloud architectures, maintaining data quality, governance, and integration becomes challenging. This study presents a **federated data governance framework**, integrating governance principles within ETL/ELT pipelines to ensure regulatory compliance, accuracy, and adaptability across hybrid cloud-based data warehouse ecosystems.
Keywords
Federated Data Governance, Hybrid Cloud Architecture, Data Quality Assurance, Data Warehouse Integration, Advanced ETL/ELT Pipelines, Metadata Management, Regulatory Compliance.
Conclusion
The study underscores the significance of **federated governance models** in hybrid cloud data environments, promoting data integrity and regulatory compliance. AI-enhanced anomaly detection and adaptive workload tuning further reinforce proactive governance strategies.
References
- Dehghani Z (2020). “Data Mesh: Delivering Data-Driven Value at Scale.” ThoughtWorks.
- World Economic Forum (2019). “Federated Data Systems: Balancing Innovation and Trust in Sensitive Data Usage.” White Paper.
- Cai L, Zhu Y (2015). “Challenges of Data Quality Assessment in the Big Data Era.” Data Science Journal.
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