Abstract
The article discusses methods of processing and storing data archive used in the digital university. Disadvantages of these methods are found. As a result, a fundamentally new method of processing and storing information archive in a constantly changing scheme database is proposed. This method uses mivar technologies. The multidimensional space structure has been developed to store the data archive. This multidimensional space describes the temporal relational model. For processing data, archive is proposed scheme for selecting the subspace and converting it into relations. A method of transformation of relational databases into multidimensional mivar space for efficient execution of operations on temporal data with changing structure is proposed. The transition to a multidimensional space allows us to describe the process of changing temporal data and their structure in a unified way. As a result, the time required to adapt the database schema and the redundancy of information storage are reduced. The results of this work are used in the human resource management database of BMSTU.
Highlights
The digital university is a complex, heterogeneous and constantly changing system that must consolidate and integrate a huge number of subsystems and modules into a single information space [1]
Most of the data stored in the digital university subsystems are temporal, i.e. they are relevant for a certain period of time [2,3,4]
The use of these models in systems that need to change the data structure over time leads to an increase in redundancy of information storage, as well as to basic relational model growth
Summary
The digital university is a complex, heterogeneous and constantly changing system that must consolidate and integrate a huge number of subsystems and modules into a single information space [1]. The use of these models in systems that need to change the data structure over time leads to an increase in redundancy of information storage, as well as to basic relational model growth. It complicates the compilation, execution of queries and adaptation of the database to new tasks. The use of mivar technologies will increase the system life cycle by adapting the database of the information system functioning in a dynamically changing subject area with temporal data
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