Abstract
Big Data provides a possibility of handling mass data, which acts as a subversive technique. By the way, traditional relation database is no more effective of mass data that causes distributed database NoSQL to appear and evolve. In this article, we will design and realize a new distributed big data management system (DBDMS), which is based on Hadoop and NoSQL techniques, and it provides big data real-time collection, search and permanent storage. Proved by some experiment, DBDMS can enhance the processing capacity of mass data, very suitable for mass log backup and retrieval, mass network packet grab and analyze, and etc. other applied areas.
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