Clearing a slicer value

Various articles point to the performance impact of creating/having date tables as they contain every date from the minimum to the maximum by day. That is, if I have issues created in 2016 in the model ending in 2020, we have 1600 records, and growing every day. 

Additionally, if a table has multiple dates (let's say a trouble ticket system) including issue creation, last modified, first worked, resolved, wouldn't you need to create a relationship between the date table and each of those fields to use to slice the data? Since last modified is a date and time field,  wouldn't your date table then also include the time in case you wanted to see what was modified during a work day from 6/2/2020 8:00 to 6/2/2020 17:00? 

Finally, linking the date table and, if I am getting you correctly, having a single filter to control the date range, the system wouldn't know - from a single table - what field from the issue table to reference. If I used a slicer against the date table, how would it know if I wanted to use the range 5/24/2020 -> 5/30/2020 on the created, resolved, or modified field.

Maybe I'm not understanding the benefits of a date table, but it's one of the listed ways to improve performance from a number of sites. I don't know enough, with regards to the benefits, for me to implement it in a way that is beneficial; especially if I have multiple date fields in a record.