Learn about amazon jewelry categories, selling fashion jewelry on amazon and how to list jewelry on amazon.
List of Metal & Precious Stones & Gems: https://www.amazon.com/gp/help/customer/display.html?ie=UTF8&nodeId=201450280
Jewelry listed on Amazon.com can be classified as either "fine" or "fashion" depending on the jewelry materials. Follow these guidelines to ensure that your products are correctly listed. Incorrectly categorizing and/or misrepresenting fashion jewelry as fine jewelry or fine jewelry as fashion jewelry may result in suspension or removal of your selling privileges.
If any part of your jewelry item includes a fine jewelry material – that is, if it includes a cultured or natural pearl, a diamond, or a fine gemstone listed in section 1.2 or 1.3; or if the metal is composed of a fine metal material listed in section 1.1 – then the item is considered a fine jewelry item.
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This article has been motivated by a response I gave to a problem raised on an Oracle developer forum. Our requirement is to produce a report that details customer spending for each month of the year. Our database only records actual spend, so for any given month, data for dormant or idle customers will have to be generated.
First, well create a mock CUSTOMER_ORDERS table with sparse data to represent customer spending. To keep the example simple, well denormalise the customer name onto the orders table.
a sparse report.
With our customer orders data as sparse as it is, a monthly report for purchases by customer would look as follows.
adding the missing months.
We can see from the data that we are missing most months of the year for our two customers. Remember that our requirement is to show a report for every month in 2004 for every customer. First we will build a "time dimension" set (using subquery factoring) and outer join it to our orders table.
We can see that this hasnt quite worked. We have the zero sums and the year-months, but we are missing customer names. This is because we outer joined to CUSTOMER_ORDERS on the year-months, so any customer columns would show as NULL for deficient rows. Until PARTITION OUTER JOIN appeared in Oracle 10g, we couldnt "invent" data easily , though the next section shows that it is possible in prior versions.
data-densification without partition outer join.