Abstract
Modeling the content of big data warehouses today is done by developers for developers. The former creates the storage itself; the latter create application systems based on it. The interests of the end user of the data contained in the warehouse are not considered in the existing paradigm. This leads to the fact that, firstly, much of the information available in the storage is not used, and secondly, users experience a lack of data to solve their tasks. The paper proposes a usercentered method for modeling the content of big data warehouses. This method enriches the existing models, which allows developers to obtain more accurate requirements for the storage itself and its contents, which has a positive effect on the percentage of data used and on the efficiency of its operation.
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