Intelligent structure models can address data drift in certain cases, as in the following example. In this example, the sample data used to create the model contains the following text:
05967|2014-09-19|04:49:50.476|51.88.6.206|custid=83834785|cntry=Tanzania|city=Mtwango|movie={b1027374-6eec-4568-8af6-6c037d828c66|"Touch of Evil"}|paid=true 01357|2014-11-13|18:07:57.441|88.2.218.236|custid=41834772|movie={01924cd3-87f4-4492-b26c-268342e87eaf|"The Good, the Bad and the Ugly"}|paid=true 00873|2014-06-14|09:16:14.522|134.254.152.84|custid=58770178|movie={cd381236-53bd-4119-b2ce-315dae932782|"Donnie Darko"}|paid=true 02112|2015-01-29|20:40:37.210|105.107.203.34|custid=49774177|cntry=Colombia|city=Palmito|movie={ba1c48ed-d9ac-4bcb-be5d-cf3afbb61f04|"Lagaan: Once Upon a Time in India"}|paid=false 00408|2014-06-24|03:44:33.612|172.149.175.30|custid=29613035|cntry=Iran|city=Bastak|movie={3d022c51-f87f-487a-bc7f-1b9e5d138791|"The Shining"}|paid=false 03568|2015-01-07|11:36:50.52|82.81.202.22|custid=27515249|cntry=Philippines|city=Magallanes|movie={ad3ae2b4-496e-4f79-a6dd-202ec932e0ae|"Inglourious Basterds"}|paid=true
The input data that the model parses contains the following text: