Abstract
Fortunately, the industry has eventually abandoned the old “one-size fits all” relational dream and started to develop task-oriented storage solutions. Nowadays, in a big project a devotion to a single persistence mechanism usually leads to suboptimal architectures. A combination of appropriate storage engines is often the best solution. However, such a combination implies a significant growth of data integrity maintenance. In this paper we describe a solution to this problem, i.e. a cuboid-based universal integration architecture. It allows hiding the peculiarities of integration so that it is transparent to the application programmer. We use graphs as an example of data that needs a task-oriented database in order to be efficiently processed. We show how graph queries can be effectively executed with the help of a graph database assisting a relational database. The proposed solution does not impose any additional complexity for programmers.
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Chromiak, M., Wiśniewski, P., Stencel, K. (2015). A Universal Cuboid-Based Integration Architecture for Polyglotic Querying of Heterogeneous Datasources. In: Kozielski, S., Mrozek, D., Kasprowski, P., Małysiak-Mrozek, B., Kostrzewa, D. (eds) Beyond Databases, Architectures and Structures. BDAS 2015. Communications in Computer and Information Science, vol 521. Springer, Cham. https://doi.org/10.1007/978-3-319-18422-7_15
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DOI: https://doi.org/10.1007/978-3-319-18422-7_15
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-18421-0
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