煤炭企业海量数据存储智能化技术研究
发布时间：2018-09-08 07:04
【摘要】：以NoSQL数据库的相关理论为基础,借助云计算和云存储技术设计了以分布式存储为架构的MongoDB数据库,为煤炭企业海量生产数据的智能化存储问题提供了解决方案。通过云存储系统性能测试得出,系统处理海量数据的性能高效、稳定,明显优于传统的关系型数据库。
[Abstract]:Based on the theory of NoSQL database, a MongoDB database based on distributed storage is designed with the help of cloud computing and cloud storage technology, which provides a solution to the problem of intelligent storage of mass production data in coal enterprises. The performance test of cloud storage system shows that the performance of the system is efficient, stable and superior to the traditional relational database.
【作者单位】： 四川交通职业技术学院;
【分类号】：F407.21;TP333
，
本文编号：2229729
[Abstract]:Based on the theory of NoSQL database, a MongoDB database based on distributed storage is designed with the help of cloud computing and cloud storage technology, which provides a solution to the problem of intelligent storage of mass production data in coal enterprises. The performance test of cloud storage system shows that the performance of the system is efficient, stable and superior to the traditional relational database.
【作者单位】： 四川交通职业技术学院;
【分类号】：F407.21;TP333
，
本文编号：2229729
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