【目的/意義】大數據時代的到來,圖書館中諸如文本、圖片、視頻、音頻等非結構化數據量急劇增加,圖書館大數據呈現海量、結構多樣和流動性的特點,需以新的數據庫系統滿足圖書館大數據管理和分析的要求。【方法/過程】提出了一種基于Hadoop的圖書館非結構化大數據分析與決策系統。【結果/結論】該系統能夠快速分析圖書館中的海量非結構化數據,通過處理海量非結構化數據發現其中隱藏的價值,并從非結構大數據中挖掘知識,可為圖書館決策和讀者服務提供支持。

【Purpose/significance】The era of big data is coming, the amount of unstructured data such as text, image, videoand audio in library increases very quickly, with the new characteristics such as huge volume, diversified data structuresand mobility of library big data, traditional rational databases in library can no longer meet the requirements of big datamanagement and analyses.【Method/process】In this paper, we propose an unstructured big data analysis and decision mak-ing system for library based on Hadoop.【Result/conclusion】This system can analyze large amounts of unstructured data inlibrary quickly, process large amounts of unstructured data to discover the hidden value, discover knowledge from unstruc-tured big data mining, and can provide decision making and service support for readers in library.