Dynamic Canonical Schema Evolution for Resilient Data Architectures

Authors

  • Anandan Dhanaraj

Keywords:

Canonical schema evolution, distributed data systems, backward compatibility, event-driven architectures, real-time data processing

Abstract

Creating resilient and flexible data architectures requires the adoption of canonical schema models, whichare now vital in a data-driven society. Thanks to dynamic schema evolution, high-speed, high-throughput ingestion lines can manage structural changes without disturbing downstream customers

References

Marc Shapiro et al., "Conflict-free replicated data types," INRIA, Available: https://www.csa.iisc.ac.in/~raghavan/CleanedPods2021/crdt-shapiro-2011.pdf

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Published

2026-01-08

How to Cite

Anandan Dhanaraj. (2026). Dynamic Canonical Schema Evolution for Resilient Data Architectures . Journal of Computational Analysis and Applications (JoCAAA), 35(1), 147–158. Retrieved from https://eudoxuspress.com/index.php/pub/article/view/4650

Issue

Vol. 35 No. 1 (2026): JOCAAA

Section

Articles

License

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.