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Unified Framework for Real-Time Big Data Analytics with AI Integration

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Real-time data processing allows organizations to work with petabyte-scale data while maintaining sub-second response times.
Graph-based workflow orchestration enhances reliability through adaptive scheduling and fault tolerance in distributed computing.
AI integration supports predictive analytics and intelligent workflow automation, improving decision-making processes.
Distributed computing frameworks optimize memory management and scaling without manual infrastructure provisioning.

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This framework integrates big data analytics and artificial intelligence, facilitating real-time data processing and intelligent decision-making.

Gopinath Ramisetty (2025) studied this question.

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This framework integrates big data analytics and artificial intelligence, facilitating real-time data processing and intelligent decision-making.