Translating a Distributed Relational Database to a Document Database

Abstract The problem of transferring data from a database one type to another is relevant today due the increase in volumes and complexity tasks solved various fields human activity. existing databases are less satisfying needs users. New types appear that more suitable for solving large-scale problems. This article proposes an algorithm optimizing document structure based on metadata about distributed relational which transferred. approach also takes into account information priority queries. queries user-defined. system automatic translation database, taking these metadata, allows user create optimal two parameters: terms volume stored execution time