A Novel Scalable Modeling Ecosystem
Summary of our contributions towards a scalable query and transformation modeling framework able to handle very large models
Gremlin-ATL: Scalable Model Transformations over NoSQL Databases
Gremlin-ATL is a scalable and efficient model-to-model transformation framework that translates ATL transformations into Gremlin, a query language supported by several NoSQL databases
NeoEMF: a multi NoSQL Persistence Framework for Very Large Models
NeoEMF is a multi-database model persistence solution, that is able to store models in several kind of NoSQL datastores, including graph, map and column databases
Big Data and modeling: Are they mutually compatible?
Ten thngs to keep in mind when mixing modeling and big data. Modeling is as important as ever when dealing with big data but it must be adapted
UMLtoGraphDB: Mapping UML to NoSQL Graph Databases
Few solutions target UML to NoSQL code-generation and even less consider OCL constraints. We present a UML/OCL transformation to Blueprints, an abstraction layer on top of a variety of graph databases
Modeling: all you need to know
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