DateHourMinute Dimension table

Hello everyone,

How have you guys solved the problem of a fact table having a grain of every 15 minutes?

I’m working on a Air quality dataset project - the grain of the client’s data by 15minutes, example 15/04/2020 08:15:00 // 15/04/2020 08:30:00 etc. We currently have a date dimension with just the DATE being the grain of the table. I’m thinking of creating another Dimension “HourMinute” with the grain being every 15minutes. But also considering creating a new dimension “DateHourMinute” with the grain being every 15 minutes of a given date. Example: 5/04/2020 00:00:00 // 5/04/2020 00:15:00 // 5/04/2020 00:30:00 // 5/04/2020 00:45:00 // etc …

How have you guys solved this type of problem please and what are your views?

Thanks heaps in advance

@Fiona,

I’ve never dealt with this specific problem myself, but just saw this article earlier today by Reza Rad, which deals with this question directly:

I hope this is helpful.

-Brian

Awesome, thanks heaps @BrianJ I’ll check it out.