CloudMdsQL: querying heterogeneous cloud data stores with a common language

@article{Kolev2015CloudMdsQLQH,
  title={CloudMdsQL: querying heterogeneous cloud data stores with a common language},
  author={Boyan Kolev and Patrick Valduriez and Carlyna Bondiombouy and Ricardo Jim{\'e}nez-Peris and Raquel Pau and Jos{\'e} Orlando Pereira},
  journal={Distributed and Parallel Databases},
  year={2015},
  volume={34},
  pages={463-503}
}
The blooming of different cloud data management infrastructures, specialized for different kinds of data and tasks, has led to a wide diversification of DBMS interfaces and the loss of a common programming paradigm. In this paper, we present the design of a cloud multidatastore query language (CloudMdsQL), and its query engine. CloudMdsQL is a functional SQL-like language, capable of querying multiple heterogeneous data stores (relational and NoSQL) within a single query that may contain… CONTINUE READING
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