 Data transformation as a means towards dynamic data storage and polyglot persistenceThomas Vanhove, Merlijn Sebrechts, Gregory Van Seghbroeck, Tim Wauters, Bruno Volckaert and Filip De Turck International Journal of Network Management, 2017, vol. 27, issue 4 Abstract: Legacy applications have been built around the concept of storing their data in one relational data store. However, with the current differentiation in data store technologies as a consequence of the NoSQL paradigm, new and possibly more performant storage solutions are available to all applications. The concept of dynamic storage makes sure that application data are always stored in the most optimal data store at a given time to increase application performance. Additionally, polyglot persistence aims to push this performance even further by storing each different data type of an application in the data store technology best suited for it. To get legacy applications into dynamic storage and polyglot persistence, schema and data transformations between data store technologies are needed. This usually infers application redesigns as well to support the new data stores. This paper proposes such a transformation approach through a canonical model. It is based on the Lambda architecture to ensure no application downtime is needed during the transformation process, and after the transformation, the application can continue to query in the original query language, thus requiring no application code changes. Date: 2017 Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:wly:intnem:v:27:y:2017:i:4:n:e1976 Access Statistics for this article More articles in International Journal of Network Management from John Wiley & Sons |
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