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June 28, 2026Iconic Research and Engineering Journals0 citations

Real-Time Data Quality Monitoring Frameworks for Streaming Pipelines

Real-Time Data Quality Monitoring Frameworks for High-Velocity Streaming Pipelines

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Authors

SGSarvesh Kumar Gupta

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Overview

Research explores real-time data quality monitoring frameworks, indicating improved decision-making and system efficiency.

Key Points

  • The research aims to establish effective frameworks for monitoring data quality in high-velocity streaming environments.
  • Literature review of existing studies on data quality monitoring in streaming contexts.
  • Analysis of various methodologies for data quality assurance in real-time environments.
  • Discussion of techniques such as anomaly detection and continuous validation.
  • Real-time data quality monitoring significantly enhances data reliability.
  • The framework helps eliminate potential errors and their propagation.
  • Improvements in decision-making efficiency and scalability of stream processing are observed.
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Sarvesh Kumar Gupta (2026) studied this question.

synapsesocial.com/papers/6a40bb4561bb0a67205c6d9ahttps://doi.org/10.64388/irev6i8-1719275
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