MDA approach for generating the PSM model for the NoSQL key-value database, application on Redis

Abstract

Big Data is a phenomenon that has influenced different fields; certainly, data has become an important source in decision-making. On the other hand, this Big Data phenomenon has given rise to the appearance of a new type of database, namely NoSQL databases, such as document-oriented databases (MongoDB, Simple DB, Elastic search, CouchDB, …), column-oriented databases (Apache Cassandra, MonetDB, …), graph-oriented databases (Neo4j, …). Migrating from a classic database (relational database) to a NoSQL database is often a difficult and complicated task. In this context, we present, in this work, an MDA approach (model driven approach) allowing to generate a PSM model (platform specific Model) attached to NoSQL Redis key-value database. In this work, we performed a model-to-model (M2M) transformation based on the QVTo model transformation language. We plan in a future work to generate the source code by a model to Text (M2T) transformation using the Acceleo code generator.