Abstract
The variety of data is one of the most challenging issues for the research and practice in data management. The so-called multi-model data are naturally organized in different, but mutually linked formats and models, including structured, semi-structured, and unstructured. In this position paper we discuss the so far neglected, but from the point of view of real-world applications important ...
Abstract
The variety of data is one of the most challenging issues for the research and practice in data management. The so-called multi-model data are naturally organized in different, but mutually linked formats and models, including structured, semi-structured, and unstructured. In this position paper we discuss the so far neglected, but from the point of view of real-world applications important aspect of evolution management of multi-model data. We provide a motivation scenario and we discuss key related challenges, such as multi-model data modelling, intra vs. inter model changes, global and local evolution operations, eager vs. lazy migration, and schema inference.
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