We recently brought attention to the need for more complex bitemporal test data in the LinkedIn group Temporal Data. Craig Baumunk of temporaldata.com then made data following some of our suggestions available to the group, and we have now implemented that using Anchor Modeling. The model can be seen here:
In order to generate the bitemporal SQL code for the model, first set Temporalization to “Bitemporal” from the Defaults-menu. You will then get the first part of the script seen below. It is followed by a section in which Craig’s data is loaded into the model. Finally, scroll down to the bottom to see how easily bitemporal data can be queried and joined.