Distributed systems became most popular systems in big companies. Nowadays many telecommunications companies
want to hold large volumes of data about all customers. Obviously, those data cannot be stored in single database
because of many technical difficulties, such as data access efficiency, security reasons, etc. On the other hand there is no
need to hold all data in one place, because companies already have dedicated systems to perform specific tasks. In the
distributed systems there is a redundancy of data and each system holds only interesting data in appropriate form. Data
updated in one system should be also updated in the rest of systems, which hold that data. There are technical problems
to update those data in all systems in transactional way.
This article is about data anomalies in distributed systems. Avail data anomalies detection methods are shown.
Furthermore, a new initial concept of new data anomalies detection methods is described on the last section.
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