Abstract
Databases which store and manage long-term scientific information related to lifescience are used to store huge amounts of quantitative attributes. Introduction ofa new entity attribute requires modification of the existing data tables and the programsthat use these data tables. The solution is increasing the virtual data tableswhile the number of screens remains the same. The main objective of the presentstudy was to introduce a logic called Joker Tao (JT) which provides universal datastorage for cloud-based databases. It means all types of input data can be interpretedas an entity and attribute at the same time, in the same data table.
Highlights
Databases which store and manage long-term scientific information related to life science are used to store huge amount of quantitative attributes
Modern database management systems fall into two broad classes: Relational Database Management System (RDBMS) and Not Only Structured Query Language (NoSQL)5,6
Joker Tao (JT) allows any data whether entity, attribute, data connection or formula, to be stored and managed even under one physical data table
Summary
Databases which store and manage long-term scientific information related to life science are used to store huge amount of quantitative attributes. This is specially true for medical databases. Modern database management systems fall into two broad classes: Relational Database Management System (RDBMS) and Not Only Structured Query Language (NoSQL). The primary goal of this paper is to introduce a novel database model which provides an opportunity to store and manage each input data in one (physical) data table while the data storage concept is structured. JT can be defined as a NoSQL engine on an SQL platform that can serve data from different data storage concepts without several conversions
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