PDDM: A Database Design Method for Polyglot Persistence
Keywords:NoSQL, Database Design, Polyglot Persistence, Logical Level Design
Databases by Web 2.0 has revealed the limitations of the relational model related to scalability. This led to the emergence of NoSQL databases, with data storage models other than relational ones. These databases propose solutions to such limitations through horizontal scalability and partially compromise data consistency. The combination of multiple data models, called polyglot persistence, extends these solutions by providing resources for the implementation of complex systems that have components with distinct requirements that would not be possible by the use of only one data model in a satisfactory way. However, there are no consolidated methods for the NoSQL database design and neither methods for design systems that apply the polyglot persistence. This work proposes a database design method applied to systems that use polyglot persistence, combining different data models. This method can be applied to the relational model and aggregate-oriented NoSQL data models. The method defines a set of sub-steps based on the existing concepts of database design. The goal is to define a formal process to assist in defining the data models to be used and to transform the conceptual design into a logical design. The method application is demonstrated in some test cases, in order to show its results and applicability for later execution of the physical design of these databases.
. T.M. Connolly, C.E. Begg. Database Systems: A Practical Approach to Design, Implementation and Management. USA: Pearson Education Limited, 2015, pp. 1440.
. P. Atzeni. “Data Modelling in the NoSQL world” in Proceedings of the 17th International Conference on Computer Systems and Technologies, 2016, pp. 1-4.
. A. Corbellini, C. Mateos, A. Zunino, D. Godoy, S. Schiaffino. “Persisting big data: The NoSQL landscape”. Information Systems, vol. 63, pp. 1-23, Jan. 2017.
. R. Cattell. “Scalable SQL and NoSQL data stores”. ACM SIGMOD Record, vol. 39, pp. 12, 2011.
. J. Bhogal, I. Choksi. “Handling Big Data Using NoSQL” in Proceedings IEEE 29th International Conference on Advanced Information Networking and Applications Workshops, 2015, pp. 393-398.
. K. Srivastava, N. Shekokar. “A Polyglot Persistence approach for E-Commerce business model” in Proceedings International Conference on Information Science - ICIS 2016, 2016, pp. 7-11.
. P. J. Sadalage, M. Fowler. NoSQL Distilled: A Brief Guide to the Emerging World of Polyglot Persistence. Addison-Wesley Professional, 2012.
. R. De Virgilio, A. Maccioni, R. Torlone. “Model-driven design of graph databases” in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 8824. Springer International Publishing Switzerland, 2014, pp. 172-185.
. C. de Lima, R.S. Mello. “Um Estudo sobre Modelagem Lógica para Bancos de Dados NoSQL”. Departamento de Informática e Estatística – Universidade Federal de Santa Catarina, pp. 11-20, 2015.
. C. Zdepski, T. A. Bini, S. N. Matos. “An Approach for Modeling Polyglot Persistence” in Proceedings International Conference on Enterprise Information Systems-ICEIS, 2018, pp. 120-126.
. R. N. Pagani, J. a. L. Kovaleski, L. M. Resende. “Methodi ordinatio: A proposed methodology to select and rank relevant scientific papers encompassing the impact factor, number of citation, and year of publication”. Scientometrics, vol. 105, pp. 2109-2135, 2015.
. C. Zdepski, T. A. Bini, S. N. Matos. “New Perspectives for NoSQL Database Design: A Systematic Review”. American Scientific Research Journal for Engineering, Technology, and Sciences (ASRJETS), vol. 68, pp. 50-62, May. 2020.
. F. Bugiotti, L. Cabibbo, P. Atzeni and R. Torlone. "Database Design for NoSQL Systems" in Conceptual Modeling, vol. 8824. Springer International Publishing, 2014, pp. 223-231.
. M. Y. Santos and C. Costa. "Data models in NoSQL databases for big data contexts" in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 9714. LNCS, 2016, pp. 475-485.
. M. J. Mior, K. Salem, A. Aboulnaga, and R. Liu. "NoSE: Schema design for NoSQL applications". IEEE Transactions on Knowledge and Data Engineering, vol. 29, pp. 2275-2289, 2017.
. P. Atzeni, F. Bugiotti, L. Rossi. "Uniform access to non-relational database systems: The SOS platform" in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 7328. LNCS, 2012, pp. 160-174.
. P. Atzeni, F. Bugiotti, L. Rossi. "Uniform access to NoSQL systems". Information Systems, vol. 43, pp. 117-133, Jul. 2014.
. E. Gallinucci, M. Golfarelli, and S. Rizzi. "Schema profiling of document-oriented databases". Information Systems, vol. 75, pp. 13-25, Jun. 2018.
. A. Silberschatz, H.F. Korth, S. Sudarshan. Database system concepts. New York: McGraw-Hill, 2010, pp. 1376.
. P. Rob, C. Coronel. Database Systems: Design, Implementation, and Management. Boston, MA: Course Technology Press, 2007, pp. 720.
. R. Ramakrishnan, J. Gehrke. Database management systems. New York: McGraw-Hill Education, 2003, pp. 1065.
. P.P.S. Chen. "The Entity-Relationship Model-Toward a Unified View of Data". ACM Transactions on Database Systems, vol. 1, pp. 9-36, Mar. 1976.
. Apache Software Foundation. "Apache Cassandra". Internet: http://cassandra.apache.org/, [Mar. 04, 2019].
. MongoDB. "MongoDB". Internet: https://www.mongodb.com/, [Fev. 04, 2019].
. OrientDB An SAP Company. "OrientDB". Internet: https://orientdb.com/, [Sep. 12, 2019].
. Elasticsearch B.V. "Elasticsearch". Internet: https://www.elastic.co/pt/, [Sep. 12, 2019].
How to Cite
Authors who submit papers with this journal agree to the following terms.