A Review of Idempotent and Concurrency-Safe Data Processing Patterns for Large-Scale Financial Systems

Citation: Shanmuka Siva Varma Chekuri, "A Review of Idempotent and Concurrency-Safe Data Processing Patterns for Large-Scale Financial Systems", Universal Library of Innovative Research and Studies, Volume 02, Issue 04.

Copyright: This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

The article presents an analysis of idempotent and concurrency-resilient data-processing mechanisms that determine the reliability of large-scale financial systems operating under high parallelism and distributed workloads. The study is based on a comparative examination of approaches to controlling repeated operations, aligning intermediate states, and managing recovery after transient failures, as well as on a synthesis of modern idempotency models and retry strategies used in distributed architectures. The focus is placed on designing a structure that ensures deterministic outcomes, eliminates duplicates, and maintains step-level consistency under multiple competing requests. The analysis demonstrates that reliability emerges from the coordinated use of several mechanisms rather than isolated technical solutions. Idempotency guarantees reproducibility of results, well-implemented retry mechanisms increase resilience to failures, and state-management controls prevent the accumulation of partial updates. Practical experience in building multi-region financial platforms shows that cross-regional latency amplifies consistency risks and requires the use of ACID-class structures and deterministic rules of execution ordering. The study clarifies the mechanisms of execution coordination across architectural layers and their impact on transaction stability, result predictability, and reduction of operational risks in large-scale systems. The findings may be useful for financial-platform architects, distributed-systems engineers, and researchers focused on the reliability of transactional infrastructures.

Keywords: Idempotency, State Consistency, Parallel Processing, Retry Mechanisms, Financial Systems, Repeat-Operation Management, Lakehouse Architecture.

https://doi.org/10.70315/uloap.ulirs.2025.0204018