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September 10, 2025

Real-time Data Stream Processing and Analytics: A Comprehensive Review

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Real-time data stream processing has emerged as essential for decision-making across industries, enabling timely insights.
Key metrics in the evaluation of data processing technologies include scalability and latency, both critical for effective operations.
The review encompasses architectures and technologies that have evolved for real-time analytics, highlighting their capabilities.
Focus on integrating machine learning with real-time systems reveals both opportunities and challenges in managing diverse data sources.

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This review highlights advancements in real-time data stream processing and analytics, indicating emerging trends and challenges.

Arimondo Scrivano (2025) studied this question.

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