摘要
随着数字媒体的快速发展,产生了大量包括文本、图片、视频和音频等多种形式的数据。有效的大数据处理与分析对理解用户行为、优化内容推荐、提升广告效果等具有重要意义。设计包括数据采集、数据存储、数据处理和数据分析等关键模块的数字媒体大数据处理与分析平台,详细描述各模块的功能和实现方法,基于Scrapy框架实现数据采集,利用MapReduce模型对图像数据进行清洗,基于Hive仓库设计数据分析方法。该平台能够高效地处理与分析大规模的数字媒体数据,符合不同类型的数字媒体数据处理需求。
With the rapid development of digital media,a large number of forms of data,including text,pictures,video and audio,have been produced.Effective big data processing and analysis is of great significance for understanding user behavior,optimizing content recommendation,and improving advertising effectiveness,etc.The study designs digital media big data processing and analysis platform of key modules,such as data acquisition,storage,processing and analysis;describes the functions and implementation methods of each module in detail;implements data collection based on Scrapy framework;cleanses image data with MapReduce model;and designs data analysis method based on Hive warehouse.The platform can process and analyze large-scale digital media data efficiently,and meet the needs of different types of digital media data processing.
作者
徐凤姣
Xu Fengjiao(Shandong Huayu University of Technology,Dezhou 253000,China)
出处
《黑龙江科学》
2024年第16期150-152,共3页
Heilongjiang Science
关键词
数字媒体
大数据处理与分析平台
大数据技术
数据采集
数据清洗
Digital media
Big data processing and analysis platform
Big data technology
Data collection
Data cleansing
