Online Aggregation Using MapReduce in MongoDB

Provided by: International Journal of Advanced Research in Computer Science and Software Engineering (IJARCSSE)
Topic: Data Management
Format: PDF
In traditional query processing system, aggregation had done using the batch mode to obtain the exact result. Online aggregation is a framework that utilizes the idea of an enhanced batch mode to obtain the approximate result of a query. To provide the approximate result for the large database in terms of terabytes or petabytes, the MapReduce concept implemented in the online aggregation. Many methodologies and algorithms designed to obtain an approximate response in less time compared to the time taken to compute an exact answer. The concept of Hadoop introduced into the MapReduce paradigm for its implementation, until now. In this paper a new methodology proposed where the NoSQL applied into the MongoDB open software that uses MapReduce paradigm along with online aggregation for implementation.

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