基于大数据集群架构的数据管理系统设计

由于传统存储设备容量、传输带宽有限，而且设备节点扩展难、使用难、数据管理难，不足以应付不断增长的用户及数据存储要求。针对这种情况，通过对现有大数据底层支撑技术的梳理，搭建了一种基于大数据集群架构的数据管理系统，该系统为满足支持不同地域海量数据服务的需求，考虑了高性能、易用性、易扩展和可靠性等方面的因素，解决了在用户激增的情况下，较容易的通过增加硬件就完成系统的扩容，并具备异地就近服务、异地互备的能力。

Design of Data Management System Based on Data Cluster Architecture

Because of the limited of storage capacity and transmission bandwidth about traditional storage device, it’s not enough to meet the growing user and data storage requirements. In view of this, by combing the existing massive data base technology ,the data management system based on massive data cluster architecture is constructed for meet the needs of different regions of massive data services support by considering the high performance, easy to use, easy to expand ,and so factors.It solved the problem about the system expansion in the case of users surge by increasing simply the number of hardware Additionally it has the ability about remote service nearby, remote backup.