Building Reliable Data Foundations in the Cloud: An Analytical Framework for Cross-Source Integrity

Authors

Shafeeq Ur Rahaman

Abstract

In the modern era of multiple cloud environments, it has brought along flexibility and scalability to organizations while raising issues regarding data integrity and reliability because of the changeable nature of each of the cloud platforms. This paper provides an intense analytical framework with the aim of guaranteeing cross-source data integrity and reliability within multi-cloud infrastructures. The Advanced Monitoring, Validation, and Reconciliation techniques integrated in this framework enable seamless data synchronization across platforms with ease, and with consistency and accuracy of data. Incorporating real-time data validation with anomaly detection, along with automated conflict resolution, ensures early detection of errors and faster resolution of the same. This framework further looks toward standardized protocols in data governance as a way of fostering trust and interoperability in the digital economy. This is helpful for organizations that rely on a variety of cloud sources. It can certainly provide a resilient foundation to underpin decision-making and operational efficiency. The proposed framework has scope for more reliable and secure multi-cloud data management strategies that engender confidence in systems of cloud-based data.

Keywords

Data integrity, multi-cloud environment, data reliability, cross-source synchronization, data governance, cloud computing, data validation, anomaly detection, reconciliation of data, interoperability, data foundation, and automated conflict resolution

Building Reliable Data Foundations in the Cloud: An Analytical Framework for Cross-Source Integrity. Shafeeq Ur Rahaman. 2018. IJIRCT, Volume 4, Issue 6. Pages 1-11. https://www.ijirct.org/viewPaper.php?paperId=2412027