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Data Comparison

Hi,
I having to write a web application which compares different values (e.g. prices) over a period of time in real time. This includes values from different companies. I'm looking at the best approach. This will mean comparing 1m records and trying to get quick results from the comparison (e.g. within 30-60 seconds). Any advice on the best approach?
The initial plan was to use MS SQL server.
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fred2k3
Asked:
fred2k3
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1 Solution
 
ZberteocCommented:
Compare how? Within the same table or different tables? Prices of what? You should compare apples with apples. More information please.
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fred2k3Author Commented:
Comparing data from the same table. For example prices from different suppliers.
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ZberteocCommented:
Some sample data would help with some example of what you need to achieve.
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Vitor MontalvãoMSSQL Senior EngineerCommented:
Would be good and easier for us if you could post some sample data and also the data model as well.
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fred2k3Author Commented:
sorry i dont have sample data - its only a theory exercise at the minute to find the best way.
The comparison would be like to like, so it would be comparing prices between different prices.
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Vitor MontalvãoMSSQL Senior EngineerCommented:
How do you want to compare the prices?
The cheapest? The expensive? Against average of the product? Or the family product?
And what should be returned?
A Boolean? The price position (Top position)? In ascending or descending order? All product row?
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fred2k3Author Commented:
Thanks Vitor, my question is more about comparing data on mass. An example is comparing 100K items from different suppliers to see which is the best overall supplier. But the calculations need to happen as quickly as possible - hence i'm trying to see what would give the best result
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Vitor MontalvãoMSSQL Senior EngineerCommented:
Still very generic. I would suggest you to work on it, even with sample data and as soon you have something more concrete you can post here so we can help you.
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awking00Commented:
You might try simplifying the task of supplying sample data with say 10 items and 4 suppliers. Not all suppliers carry all 10 items (maybe none of them). The price comparisons are easy (either greater than, less than, or equal) but the analysis might not be. A slight difference in price might be offset by other factors (e.g. one supplier's payment requirements may be on delivery while another is payment in 30 days), so criteria for determining the "best" supplier would have to spelled out. Additionally, the database performance will largely depend on issues like capacity, statistics analysis, proper indexing, etc. Furthermore, the performance might be better managed by some sort of Java application or GUI rather than the underlying database.
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fred2k3Author Commented:
Didnt fully address the question - this was relatively the closest answer when compared to the others.
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