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Editorial Team
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Asked: 2026-05-27T17:46:38+00:00

I am trying to decide which would be the best data warehouse type design.

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I am trying to decide which would be the best data warehouse type design. It will be used to find historical price averages of different item during different time periods using a Google type search. For example, what was the avg price of Stock A this month, 3m, 6m, and 1 year ago? The issue is that I do not have an item name that I can use, I have descriptions fields about the item.

This means that I can’t aggregate items into views, since the same item maybe listed 20 times each with different descriptions, so I have to on the fly do a full-text search on the description field, grab the price where the insertdate is < 3 months ago. Then find the average of that.

So is my best bet to have everything in one table like:

            MAIN
----------------------------
ID | Description | Price | Date

or many tables:

    DESCRIPTION
------------------
ID | Description | 


   PRICE
---------
ID | PRICE

And just join to get the data I want. The database will contain a few million rows. If I had a way to get the real name of the item I could see pre aggregating the data, but that is not an option for me. I appreciate any advice!

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1 Answer

  1. Editorial Team

    I’d say option 2 … keep the top level details in the “description” table. And the historic data in the “price” table (albeit, with a Date field added to capture the temporal value)

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