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[CA17] Model driven reverse engineering of NoSQL property graph databases: The case of Neo4j
Conférence Internationale avec comité de lecture : 2017 IEEE International Conference on Big Data, December 2017, pp.453-458, Boston, USA,Mots clés: Reverse engineering, NoSQL graph database, Model-Driven Approach, property graph, Neo4j
Résumé:
Abstract:
Most NoSQL databases are schemaless. Although they offer some flexibility, they do not have any knowledge of the database schema, losing the benefits provided by these schemas. It is generally accepted that data modelling can have an impact on performance, consistency, usability, and maintainability. We argue that NoSQL databases need data models that ensure the proper storage and the relevant querying of the data. This paper seeks to present and illustrate an MDA-based approach, allowing us to achieve a reverse engineering of NoSQL property graph databases into an Extended Entity-Relationship schema. The approach is applied to the case of Neo4j graph database. We present an illustrative scenario and evaluate the reverse engineering approach.
BibTeX
| @inproceedings { | |||
| CA17, | |||
| title | = | "{Model driven reverse engineering of NoSQL property graph databases: The case of Neo4j}", | |
| author | = | " I. Comyn-Wattiau and J. Akoka ", | |
| booktitle | = | "{2017 IEEE International Conference on Big Data}", | |
| year | = | 2017, | |
| month | = | "December", | |
| pages | = | "453-458", | |
| address | = | "Boston, USA", | |
| } | |||
