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The article discusses an approach to developing a web resource that aggregates information about educational organizations of various levels: from kindergartens to universities. The technology stack used is described, the stages of development of the main components of the system are demonstrated. The article presents the architecture of the system with a description of the operation of individual modules, including modules for determining the geo-location of an educational institution. It is shown how information about more than 150,000 educational institutions in Russia is collected on the basis of open data.

Currently, more and more managers of medium and large industrial companies are thinking about conducting a digital transformation of their enterprise. Each company is forced to strive to find an approach to optimizing production in order to remain competitive in the market. For industrial enterprises, this approach may be a digital transformation using the ideas of Industry 4.0. The digital transformation of an enterprise is a complex and multifaceted process that affects almost all levels of production. At the head of this whole process are data. Data on the work of production must be collected, stored, aggregated, transferred to various levels. Existing methods for storing data are not always suitable for working with BigData, new solutions are needed. The paper shows a comparison of the traditional approach to data aggregation and a promising direction based on the architecture of Data Lake.