Abstract
<jats:p>This volume focuses on advanced big data ecosystems that integrate intelligent analytics, cognitive reasoning, and automated decision-making to solve complex real-world challenges. It emphasizes distributed processing frameworks, streaming platforms, multimodal data fusion, scalable inference models, and Al-assisted interpretation techniques. The volume also considers governance frameworks, data lifecycle management, ethical analytics, privacy preservation, and responsible use of large-scale datasets. Research direction includes graph analytics, real-time analytics pipelines, data engineering strategies, feature optimization, and visualization-based insight delivery. Case studies demonstrating big data applications in healthcare systems, financial forecasting, national governance, climate intelligence, public policy, industrial automation, and smart city development are highly encouraged. The ultimate aim is to support the design of transparent, scalable, and application-ready big data ecosystems capable of generating meaningful and actionable intelligence across global domains.</jats:p>