A novel data storage logic in the cloud

Bence Mátyás, Gabriela Bautista, Máté Szarka, Gábor Járvás, Gábor Kusper, István Argay, Alice Fialowski

Research output: Contribution to journalArticlepeer-review

Abstract

Databases which store and manage long-term scientific information related to life science are used to store huge amount of quantitative attributes. Introduction of a new entity attribute requires modification of the existing data tables and the programs that use these data tables. A feasible solution is increasing the virtual data tables while the number of screens remains the same. The main objective of the present study was to introduce a logic called Joker Tao (JT) which provides universal data storage for cloud-based databases. It means all types of input data can be interpreted as an entity and attribute at the same time, in the same data table.

Original languageEnglish
Article number93
JournalF1000Research
Volume5
DOIs
StatePublished - 1 Jan 2017

Bibliographical note

Publisher Copyright:
© 2017 Mátyás B et al.

Keywords

  • Cloud
  • Database
  • Joker Tao
  • Life science
  • NoSQL
  • Physical data table
  • RDBMS
  • Virtual data table

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