Bitemporal data has always been important. But it was not until 2011 that the ISO released a SQL standard that supported it. Currently, among major DBMS vendors, Oracle, IBM and Teradata now provide at least some bitemporal functionality in their flagship products. But to use these products effectively, someone in your IT organization needs to know more than how to code bitemporal SQL statements. Perhaps, in your organization, that person is you. To correctly interpret business requests for temporal data, to correctly specify requirements to your IT development staff, and to correctly desi
If you're a programmer or database administrator who uses SQL in your day-to-day work, this popular ...
In bitemporal databases, current facts and transaction states are modelled using a special value to ...
The SQL standardization community is hard at work adding object technology to the SQL relational dat...
The timestamps of now-relative bitemporal databases are modeled as growing, shrinking, or rectangula...
Most data managed by existing, real-world database applications is time referenced. Data warehouses ...
Abstract: A nested bitemporal relational data model and its query language are implemented. The bite...
Time is an essential part of information since it predicates about a constantly evolving real world....
After more than a decade of a virtual standstill, the adoption of temporal data management features ...
We introduce a nested bitemporal relational data model that allows arbitrary levels of nesting. Bite...
The databases of a wide range of applications, e.g., in data warehousing, store multiple states of ...
By supporting the valid and transaction time dimensions, bitemporal databases represent reality mor...
Abstract. An increasing number of applications such as risk evalua-tion in banking or inventory mana...
While the introduction of temporal extensions into database standards has proven difficult to achiev...
Most applications require storing multiple versions of data and involve a lot of temporal semantics ...
Abstract. Traditional database management systems (DBMS) are the computation storage and reservoir o...
If you're a programmer or database administrator who uses SQL in your day-to-day work, this popular ...
In bitemporal databases, current facts and transaction states are modelled using a special value to ...
The SQL standardization community is hard at work adding object technology to the SQL relational dat...
The timestamps of now-relative bitemporal databases are modeled as growing, shrinking, or rectangula...
Most data managed by existing, real-world database applications is time referenced. Data warehouses ...
Abstract: A nested bitemporal relational data model and its query language are implemented. The bite...
Time is an essential part of information since it predicates about a constantly evolving real world....
After more than a decade of a virtual standstill, the adoption of temporal data management features ...
We introduce a nested bitemporal relational data model that allows arbitrary levels of nesting. Bite...
The databases of a wide range of applications, e.g., in data warehousing, store multiple states of ...
By supporting the valid and transaction time dimensions, bitemporal databases represent reality mor...
Abstract. An increasing number of applications such as risk evalua-tion in banking or inventory mana...
While the introduction of temporal extensions into database standards has proven difficult to achiev...
Most applications require storing multiple versions of data and involve a lot of temporal semantics ...
Abstract. Traditional database management systems (DBMS) are the computation storage and reservoir o...
If you're a programmer or database administrator who uses SQL in your day-to-day work, this popular ...
In bitemporal databases, current facts and transaction states are modelled using a special value to ...
The SQL standardization community is hard at work adding object technology to the SQL relational dat...