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The key challenges in solving big data units are the integrity and duplication of facts, as mistakes and layoffs can easily degrade choice -making and operational efficiency. This venture applies to the development of sturdy statistics integrity and duplicate caution system, which ambitions to discover, confirm and alleviate statistics and transmissions throughout exclusive facts assets. The procedure integrates records ingestion, validation and determination to preserve the individuality of records. For established and unstructured information, it makes use of a solution primarily based on rules, hash -primarily based determination and anomaly detection with advanced strategies for efficient processing. In addition, the mixing of the warning mechanism guarantees instantaneous bulletins of viable troubles that allow on the spot remedies. The implementation of audit protocols ensures the traceability and duty in fixing the detected anomalies and their possible resolutions. The scalp and flexible system helps integration with exceptional databases.
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Copyright © 2025, This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC-BY-NY-SA). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Corresponding Author: Dillibabu, dillibabu2002b@gmail.com
Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.
Conflict of interest: The author declares that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Publisher’s note: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.
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