Abstract
When NoSQL database systems are used in an agile software development setting, data model changes occur frequently and thus, data is routinely stored in different versions. This leads to an overhead affecting the software development and in particular, the management of data accesses. In this context, different data migration strategies exist, which are characterized by certain advantages and ...
Abstract
When NoSQL database systems are used in an agile software development setting, data model changes occur frequently and thus, data is routinely stored in different versions. This leads to an overhead affecting the software development and in particular, the management of data accesses. In this context, different data migration strategies exist, which are characterized by certain advantages and disadvantages. Using exactly that strategy whose characteristics match the according migration scenario, depends on the query workload, the changes in the data model caused by schema evolution, and the requirements for the application in terms of migration costs and latency during data accesses. In this paper we present a methodology of selfadapting data migration, which automatically adjusts migration strategies and its parameters accordingly, thereby supporting the agile software development.
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