Research status and application scenario expansion of unstructured big data analysis technology

In the context of the profound evolution of the big data era, unstructured big data has become the main body of data resources, and its value extraction capability is directly related to the intelligent transformation process of all industries. This paper focuses on the processing and analysis technologies of unstructured big data, systematically reviewing the research status and expansion directions of application scenarios in this field. Research findings indicate that while artificial intelligence and cloud computing technologies have driven a revolutionary leap in processing capabilities, this field still faces a core contradiction: a significant gap exists between the fragmented state of key technologies and the end-to-end solutions required by real business, compounded by the prevalent data quality shortcomings, which together constitude the main obstacles to value realization. Therefore, through the literature analysis method, this paper summarizes existing technologies and application practices, and proposes a four-layer integrated framework centered on scenario-driven and intelligent orchestration from the two dimensions of technical integration architecture and scenario integration. The objective is to provide theoretical references and practical guidance for building efficient and implementable intelligent solutions for unstructured data.