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
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
In this post we present our latests updates on NeoEMF, our solution to store and access
How to speed up the access and queries on large models thanks to our language (and execution environment) to define prefetching/caching plans for specific modeling scenarios
New version of our tool able to infer the shared schema among a set of schemaless JSON Documents
Mogwaï is framework to store large models in a GraphDB NoSQL backend (thanks to NeoEMF) and efficiently query those models by means of a OCL to Gremlin (a query language for some NoSQL databases) transformation.