Main Article Content
Abstract
Natures of most applications data evolving with time, and previous data state is still
needed for various things besides current state, such as trend analysis, decision making, and
others. Temporal data is a data inherently with time. Current data will be replaced with a
new one. Database temporal is a bitemporal database. A database supports both historical
and transaction database capabilities; it represented with valid-time, and transaction-time.
Database temporal can be implemented on relational database model, or object-oriented
database model. The low level implementation strategy of database temporal is proposed in
this paper. As consequence, temporal database management system must be built from the
scratch. A temporal database engine must be built. Prototype of temporal database engines
have been built both on relational data model, and object-oriented data model.
Kata kunci: data temporal, sistem basis data, basis data berorientasi obyek, basis data
relasional, basis data spasio-temporal.
needed for various things besides current state, such as trend analysis, decision making, and
others. Temporal data is a data inherently with time. Current data will be replaced with a
new one. Database temporal is a bitemporal database. A database supports both historical
and transaction database capabilities; it represented with valid-time, and transaction-time.
Database temporal can be implemented on relational database model, or object-oriented
database model. The low level implementation strategy of database temporal is proposed in
this paper. As consequence, temporal database management system must be built from the
scratch. A temporal database engine must be built. Prototype of temporal database engines
have been built both on relational data model, and object-oriented data model.
Kata kunci: data temporal, sistem basis data, basis data berorientasi obyek, basis data
relasional, basis data spasio-temporal.