A Hybrid System of Hadoop and DBMS for Earthquake Precursor Application

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Compared with traditional data warehouse applications, big data analytics are huge and complex, and requires massive performance and scalability. In this paper, we explore the feasibility and versatility of building a hybrid system that not only retains the analytical DBMS, but also could handle the demands of rapidly exploding data applications. We propose a hybrid system prototype which takes DBMS as the underlying storage and execution units, and Hadoop as an index layer and a cache. Experiments show that our system meets the demand, and will be appropriate for analogous big data analysis applications.
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MapReduce; Parallel Database; Global Index Access

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