Data model that takes part of data to DSO and part to cube

Hello experts,
I have a question about the data model I am currently working on. This model is about a reservation agency, where a customer contacts the agency through a sales representative and makes a reservation for a certain event. He later has the option of confirming or cancelling the reservation. We will be receiving data for future reservations every day, with the updated status of future and recently past reservations, sales representative in charge of the reservations, income that will be perceived from each reservation (if the reservation is confirmed) or that was perceived if the event already took place, and more.
I have found the need to use a DSO to update the reservation status of incoming reservations, as well as other fields. I am loading from a flat file with 20 fields, and the destination is a cube, after the data gets cleansed in the DSO, where there are 2 key fields (reservation code and reservation date). However, not all the remaining data from the flat file needs to get updated. Out of the other 18 fields, only around 9 may change on an update, while the others will never change (for example, the customer name, confirmation date and event name will not change, while the sales representative, reservation status and income perceived can change from one day to another).
I was designing a model in which the DSO contained all 18 non-key fields as data fields, so that everything got updated and passed to the cube, but then I thought that perhaps since many fields will not change, it would be better if the DSO only updated those fields that could actually change, while the other fields "jumped" directly to the cube. After the DSO updates the changing fields, the others will already be in the cube. This way, the DSO would receive and have to process less amount of data, making the DSO tables smaller and the process more efficient. But I cannot find a proper way to do this from a single data source, since the data has to pass from the data source to the DSO and then through a transformation from the DSO to the cube.
Is there a way to accomplish this, or should I just have all fields go through the DSO and from there to the cube?

Hi, thanks for the suggestion. The reservation code, as of right now, is not master data, and it is unique almost always, except for rare occurences where the same customer makes several reservations, each one for a different date (that is why for the DSO I am using as key fields both reservation date and reservation code). Because of that and the fact that there are lots of reservations made each day, we had defined that object without master data (since the master data table would be huge in a short amount of time). Perhaps I should change it to become master data? Or what should we do?

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