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Now one additional resource I want to draw your attention to which you also find a link to in the last

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lecture of this module is this article in the official mongodb documentation.

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It talks about how to model monetary data and that is essentially about the things we talked about in

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this module,

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so how you can get that precision you need and so on.

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There you also find an alternative approach to using that decimal 128 bit value we used in the last

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lectures and that is using a scale factor which is not the recommended method anymore,

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that is why I showed using the decimal type because that is preferable now

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but the scale factor method is essentially a way of using or working with numbers by multiplying them

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with the precision you need,

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so if you need for example here in this example, a tenth of a cent of precision, you could multiply your

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price value with 1000 to get that precision,

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so you essentially only work with integers there and never with floating point numbers

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and that is an alternative to the 128 decimal, though

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just to highlight this again, using the decimal is preferrable now but you can of course go for this approach

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too if you want to.

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So checking out this article is also worth your time

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if you're working with monetary data, you'll find a bit more information there.

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But I hope that with this module, it became clearer why we have these different number types, what you

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use them for, what their limitations and advantages are

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and therefore what you could choose in your next application you build.