Forum Discussion
Hi Lily,
Thanks so much, I played around with it a bit, but I think my use case requires me to be able to dive a bit deeper into the changes itself. Although the accumulation does help, I want to be able to identify not only new / changed records in a dataset level, but by a row level, drilled down to a subject level. So if there is 10 subjects in the first data load, each with 2 records, and with the next load, 5 of the subjects have 2 new records loaded each, each of the new records should be flagged as new, and if 2 of the original subjects have had 3 variable values changed or updated, to be able to flag that record as changed based on all the fields that changed, not just a date. Hope this makes sense! I am busy playing around with flagging with SQL as I can use more defined group by values so will let you know what I manage with that.
francoisvv Got it! Thanks for the additional details. If you find a SQL solution for your use-case, please share it with us!
Please also take a look at the post following the link below. It provides an example on how to see the historical data per the dimension and not just the current state: https://community.sisense.com/t5/knowledge/slowly-changing-dimension/ta-p/8925