концентрація

The authors developed a system of criteria for assessing data quality in the context of distributed information systems. The article describes a set of data quality dimensions formulated based on the challenges of data storage and processing in distributed environments. The main objective of the research is to identify the primary requirements and challenges faced by distributed information resources and to satisfy them with specifically selected data quality criteria.

The emergence of microservice architecture has revolutionized software development practices by decentralizing components, facilitating scalability, and enabling agility in system design and deployment. There are some benefits of incorporating microservices instead of a single server, however, distributed components introduce extra constraints and complexities in maintaining data consistency as well. As microservices interact independently, coordinating data updates across multiple services becomes challenging, particularly in scenarios where transactional integrity is required.