Every year data with a large volume and variety to be processed is growing. Such data handling requires special approaches, methodologies and tools. One of the most important parts of manipulating information is a high-level declarative query language that helps us not only to solve a lot of kinds of problems, but gives us great possibility for optimization. In this paper there will be considered a practical part of approach that introducing an extended relational algebra from [1]. This algebra can be used by query optimizer based on cost models. Implementation of generalized algebraic operations that uses big data management system AsterixDB [2], a cost model for estimation and optimization is the main aim of this work. © Springer International Publishing Switzerland 2015.
CITATION STYLE
Saveliev, N. (2015). Implementation of Generalized Relational Algebraic Operations with AsterixDB BDMS. In Advances in Intelligent Systems and Computing (Vol. 312, pp. 323–332). Springer Verlag. https://doi.org/10.1007/978-3-319-10518-5_25
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