Bridging the Gap: Integrating Batch and Streaming Data Paradigms for Holistic Analytics in the Age of Real-Time, Predictive, and Historical Insights

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发表在:	International Journal of Communication Networks and Information Security vol. 17, no. 2 (2025), p. 327-359
主要作者:	Muvva, Sainath
出版:	Kohat University of Science and Technology (KUST)
主题:	Historical analysis Data processing Predictive analytics Trends Organizations Data systems Synchronism Data analysis Batch processing Machine learning Decision making Internet of Things Efficiency Smart cities Quantum computing Edge computing Prediction models Sensors Paradigms Algorithms Real time Workflow management systems Resource efficiency Economic
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