Information Architecture and Analytics Systems with Interval Data Types

The paper is devoted to development of software architecture for informational and analytical purposes based on usage of the interval data types. Interval data is generalization of real data with minimum and maximum values instead of crisp ones. This data type is useful in the analytical systems. The main problem in the information system development is realization of effective and transparent procedures for work with a nonstandard type in databases. Information retrieving from databases and basic processing can be done using traditional SELECT, other SQL syntax and special functions. Different modeling tools can be used at a higher software architecture level for data analytics.