Innovative approaches to data management and analytics

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This article discusses innovative developments in the field of data management and analytics. In the era of digital transformation, information systems have to face a fundamental problem - how to organize effective management of heterogeneous data sources, given the exponential growth of information volumes, as well as the complexity of its structuring. Modern business processes require not only the storage and processing of various types of information, but also the development of predictive models capable of detecting latent patterns in information flows. The problem under study is the need to integrate innovative analytics methods into the existing IT infrastructure of business entities, which requires a revision of traditional architectures and approaches to data processing.

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Analytics, big data, scalability, machine learning, microservices architecture, predictive analytics, forecasting, distributed computing, data management

Короткий адрес: https://sciup.org/140310940

IDR: 140310940

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