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
Reverse engineering of database security policies
Automatic extraction of security policies that generates an RBAC security model from an existing database by analyzing its dictionary, views, triggers,…
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
MetaScience: Holistic Approach for Research Modeling and Analysis
Our work “MetaScience: an Holistic Approach for Research Modeling” has been accepted at ER2016. This article proposes a conceptual schema providing a holistic view of conference-related information (e.g., authors, papers, committees and topics). This schema is...
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
Mogwaï: Querying large models via an OCL to NoSQL / GraphDB transformation
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.
Modeling: all you need to know
