Greetings, I'm finally tackling the topic of data models within my organization, and am coming across situations I am needing to solve for. 1. Windows authentication data which has a null values in the src field, due to the type of authentication taking place. I understand that field aliasing comes into play, and I tried that - however, I tried aliasing a calculated field, which does not work of course. Now, I am having to go back to see if there is another field I can alias instead. I guess my ask with this post here is to get some strategies from other Splunk users who have tackled data cleanup and data models. Are null values acceptable for certain situations? Or, must every required data model field be complete? Such as action, app, dest, src, user etc.? I appreciate some feedback regarding this topic.
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