ObsolèteThe CloudMdsQL (Cloud Multi-datastore Query Language) polystore transformsqueries expressed in a common SQL-like query language into an optimized query execution plan tobe executed over multiple cloud data stores (SQL, NoSQL, HDFS, etc.) through a query engine. The compiler/optimizer is implemented in C++ and uses the Boost.Spirit framework for parsing context-free grammars.CloudMdsQL has been validated on relational, document and graph data stores in the context of theCoherentPaaS European project
Abstract—As the size of data set in cloud increases rapidly, how to process large amount of data eff...
An increasing a large amount of data to be managed in different type of databases and the cloud comp...
International audienceThis demonstration concentrates on a CloudMdsQL use case scenario: a social ne...
The blooming of different cloud data management infrastructures has turned multistore systems to a m...
International audienceThe blooming of different cloud data management infrastructures, special-ized ...
International audienceThe blooming of different cloud data management infrastructures has turned mul...
Verifier le DoiInternational audienceThe blooming of different cloud data management infrastructures...
Co-located with the 2016 IEEE International Conference on Big DataInternational audienceThe CloudMds...
International audienceIn the CoherentPaaS project, we are developing the Cloud Multidatastore Query ...
The blooming of different cloud data management infrastructures, specialized for different kinds of ...
International audienceThe blooming of different cloud data stores has turned polystore systems to a ...
International audienceMultistore systems have been recently proposed to provide integrated access to...
To appearInternational audienceBuilding cloud data-intensive applications often requires usingmultip...
International audienceIn this short paper (see [2] for the long version), we propose a functional SQ...
Le cloud computing a eu un impact majeur sur la gestion des données, conduisant à une prolifération ...
Abstract—As the size of data set in cloud increases rapidly, how to process large amount of data eff...
An increasing a large amount of data to be managed in different type of databases and the cloud comp...
International audienceThis demonstration concentrates on a CloudMdsQL use case scenario: a social ne...
The blooming of different cloud data management infrastructures has turned multistore systems to a m...
International audienceThe blooming of different cloud data management infrastructures, special-ized ...
International audienceThe blooming of different cloud data management infrastructures has turned mul...
Verifier le DoiInternational audienceThe blooming of different cloud data management infrastructures...
Co-located with the 2016 IEEE International Conference on Big DataInternational audienceThe CloudMds...
International audienceIn the CoherentPaaS project, we are developing the Cloud Multidatastore Query ...
The blooming of different cloud data management infrastructures, specialized for different kinds of ...
International audienceThe blooming of different cloud data stores has turned polystore systems to a ...
International audienceMultistore systems have been recently proposed to provide integrated access to...
To appearInternational audienceBuilding cloud data-intensive applications often requires usingmultip...
International audienceIn this short paper (see [2] for the long version), we propose a functional SQ...
Le cloud computing a eu un impact majeur sur la gestion des données, conduisant à une prolifération ...
Abstract—As the size of data set in cloud increases rapidly, how to process large amount of data eff...
An increasing a large amount of data to be managed in different type of databases and the cloud comp...
International audienceThis demonstration concentrates on a CloudMdsQL use case scenario: a social ne...