Abstract
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.
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Saveliev, N. (2015). Implementation of Generalized Relational Algebraic Operations with AsterixDB BDMS. In: Bassiliades, N., et al. New Trends in Database and Information Systems II. Advances in Intelligent Systems and Computing, vol 312. Springer, Cham. https://doi.org/10.1007/978-3-319-10518-5_25
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DOI: https://doi.org/10.1007/978-3-319-10518-5_25
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-10517-8
Online ISBN: 978-3-319-10518-5
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