There has been a growing trend to use temporal data in a data warehouse for making strategic and tactical decisions. The key idea of temporal data management is to make data available at the right time with different time intervals. The temporal data storing enables this by making all the different time slices of data available to whoever needs it. Users with different data latency needs can all be accommodated. Data can be “frozen” via a view on the proper time slice. Data as of a point in time can be obtained across multiple tables or multiple subject areas, resolving consistency and synchronization issues. This paper will discuss implementations such as temporal data updates, coexistence of load and query against the same table, performance of load and report queries, and maintenance of views against the tables with temporal data.
Rahman, Nayem, "Updating Data Warehouses with Temporal Data" (2008). AMCIS 2008 Proceedings. 323.