地质大数据存储技术

A study of the storage technology of geological big data

在大数据时代背景下,地质大数据的研究及大数据相关技术为实现地质工作的现代化发展和信息化提供了有效的支撑。而当代大数据发展趋势,就是海量数据的存储及越来越多的事物的数据存在形式。通过梳理大数据处理的关键技术,总结归纳了大数据背景下现有存储技术及数据库的类型。在地质大数据和地质云架构的基础上,讨论适合当前地质大数据的存储技术,地质数据具有多源、多元、异构、时空性、方向性、相关性、随机性、模糊性、非线性等特征。因此,对于存储与管理方式的选择应该是具体问题具体分析,建立多技术支持下的大数据架构,才能满足地质大数据的应用需求。

Under the background of the age of big data, the study of geological data and the technology of big data provide effective support for the development and realization of the modernization of the geological work. The deep-seated reason of the contemporary trend of big data lies in mass data storage and data forms of more and more things. In this paper, through analyzing the key technology of data processing, the authors sum up the existing storage technologies under the background of big data. Based on geological data and geological cloud architecture, the authors discuss the geological data storage technology suitable for current geological work. Geological data are characterized by multiple sources, diversity, heterogeneity, space-time nature, directivity, correlation and randomness, fuzziness, and nonlinear nature. Therefore, the choice of the means of storage and management should be a specific issue deserving concrete analysis, and only the establishment of large data structure under multiple technologies can meet the demand of geological applications of big data.