基于大数据决策分析需求的图书馆大数据清洗系统设计

Design of Big Data Cleaning System for Library Based on Big Data Decision Analysis Needs

图书馆的大数据时代已经来临,大数据质量问题是影响图书馆大数据应用的重要因素,而大数据清洗则是提高图书馆大数据质量的主要手段。本文介绍了图书馆不清洁数据的类型与产生原因,设计了基于大数据决策分析需求的图书馆大数据清洗系统,该系统不仅可以提高大数据清洗的效率和精确度,而且大幅度降低了图书馆大数据决策分析的复杂度。

The library＇s era of big data is coming, data quality issues will result very important influence on big data applications of libraries, big data cleaning is one of the important methods to improve libraries data quality. This paper introduced the types of dirty data and reasons in libraries, and designed of big data cleaning system for library based on big data decision analysis needs, the system not only improved the efficiency and accuracy of big data cleaning, but also greatly reduced the complexity of big data decision analysis for library.