Studies of Big Data metadata segmentation between relational and non-relational databases

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Studies of Big Data metadata segmentation between relational and non-relational databases

Golosova, M V; Grigorieva, M A; Klimentov, A A; Ryabinkin, E A; Dimitrov, G; Potekhin, M

Journal of physics. Conference series, 01/2015, Volume: 664, Issue: 4

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In recent years the concepts of Big Data became well established in IT. Systems managing large data volumes produce metadata that describe data and workflows. These metadata are used to obtain information about current system state and for statistical and trend analysis of the processes these systems drive. Over the time the amount of the stored metadata can grow dramatically. In this article we present our studies to demonstrate how metadata storage scalability and performance can be improved by using hybrid RDBMS NoSQL architecture.

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