【作者】 张宇宏； 张俊玲； 杨延嵩；

【Author】 ZHANG Yu-hong;ZHANG Jun-ling;YANG Yan-song;Smart City College,Beijing Union University;

【机构】 北京联合大学智慧城市学院；

【摘要】 面对传统的关系型数据库无法满足海量级、多类型非结构化数据存储与处理的需求,大数据概念及相关技术应运而生,并不断得到发展壮大。数据存储技术作为其关键技术之一,呈现出众多不同的存储方式与类型,应用于不同场景的各类数据库源源不断产生。面对如此繁杂的数据存储与数据库,如何选出适合场景需求的数据存储类型,是影响大数据平台性能的关键要素之一。依据存储网络工业协会给出的存储系统参考模型,通过分析和梳理现有各种数据存储技术的特性,研究构建了一个包含存储介质、存储连接与管理、存储模型与引擎的三层分类模型,并依照此模型的3个层面对各类数据存储技术进行了分类描述,从而为数据存储选型提供了便利,理清了未来大数据存储技术的研究发展方向。更多还原

【Abstract】 In view of of the traditional relational database can not meet the storage and processing needs of massive and multi-type unstructured data,the concept of big data and its related technologies have been born and developed continuously.As one of the key technologies,data storage technology presents many different storage methods and types,and various kinds of databases applied to different scenarios are constantly produced.In the face of such a complex data storage and database,how to select the data storage type suitable for the scene requirements is one ofthe key factors affecting the performance of big data platform.According to the storage system reference model given by the storage network industry association,by analyzing and combing the characteristics of various existing data storage technologies,a three-layer classification model including storage medium,storage connection and management,storage model and engine is constructed.According to the three layers of this model,various data storage technologies are classified and described,so as to select the data storage technology.It provides convenience for data storage selection and clarifies the research and development direction of big data storage technology in the future.更多还原