Paste fact in 602

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Aug 6th, 2022
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How to paste fact in 602

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hello and welcome to chief joes art stuff this is Julie and Iamp;#39;m here to impart some knowledge to you today via a 2 minute art tip and today weamp;#39;re going to be talking about molding or modeling paste again groan groan groan I know Iamp;#39;ve already talked about this before but we have had some follow-up questions from customers where I was talking about how to use modeling paste as an extender okay what do I mean when I say that what Iamp;#39;m saying is how do you turn just a little bit a little dab of paint into a big bob of paint and molding paste or modeling paste depending on which brand you choose will do that for you so what I have here is a little bit of Prussian blue now Prussian blue is a high intensity color but what weamp;#39;re going to do is take a little bit of Joeamp;#39;s prime take this you can see itamp;#39;s very very thick weamp;#39;re going to take some color and weamp;#39;re going to mix this together because you can take just a lit

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Examples: Sales fact table, Orders fact table, Inventory fact table. This fact table captures the quantitative data related to sales transactions, such as the quantity of products sold and the total sales amount.
A fact is a provable statement. It can be shown to be true or false without any doubt, usually through some indisputable evidence, like a measurement or an observation. For instance, it is a proven fact that the Civil War occurred from 1861-1865. You can look it up in any history book and find the same dates.
In data warehousing, a fact table consists of the measurements, metrics or facts of a business process. It is located at the center of a star schema or a snowflake schema surrounded by dimension tables. Where multiple fact tables are used, these are arranged as a fact constellation schema.
The centipede is a fact table surrounded by many dimension tables that have been (overly) normalized to avoid snowflaking to the point where it looks like the eponymous insect. However, the phenomenon is not limited to normalized tables. The same issue occurs in multidimensional views.
A fact table usually contains two types of columns: measures and foreign keys. The measures contain the quantitative data, usually in the form of numeric values. The measures represent key business metrics -- or facts -- about a process, event or condition.
Facts and dimensions are data warehousing terms. A fact is a quantitative piece of information - such as a sale or a download. Facts are stored in fact tables, and have a foreign key relationship with a number of dimension tables. Dimensions are companions to facts, and describe the objects in a fact table.

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