**SHOP TUTORIAL PRODUCTS BELOW**
Christine White of Christine White Style brings simplicity to beginner and advanced jewelry designers with this earring tutorial that makes headpins and wire-wrapping make sense! Follow along and make these earrings your own through Christine’s design tips and instructions.
Jewelry Making Tutorial using headpins to create earring, pendants and more! Learn how easy it can be to create designs of your very own with this wire wrapping technique!
PRODUCTS FOR THIS TUTORIAL:
-Beads of Your Choice: https://christinewhitestyle.com/collections/loose-beads
-Gold or Silver Seed Beads: https://christinewhitestyle.com/products/seed-beads-size-11-0
-Round Nose Pliers: https://christinewhitestyle.com/collections/tools/products/round-nose-pliers-zebra-handle
-Wire Cutter: https://christinewhitestyle.com/collections/tools/products/designer-wire-cutter
-Earring Wires: https://christinewhitestyle.com/collections/findings/products/goldfill-simple-french-earring-hook-pack-of-6-3-pairs
-3 Piece Tool Set: https://christinewhitestyle.com/collections/tools/products/3-piece-tool-set
º º º FIND & FOLLOW Christine White º º º
º º º THANK YOU FOR SUBSCRIBING º º º
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.