**SHOP TUTORIAL PRODUCTS BELOW**
Christine White of Christine White Style enhances your knowledge of the ‘nuts and bolts’ of diy jewelry making with chain linking and wire sectioning.
Jewelry making tutorial using wire sections and beads to create linked sections. Learn how easy it can be to create beautiful chains of your own, and embellish chains that you love!
-Round nose pliers: https://christinewhitestyle.com/collections/tools/products/round-nose-pliers-zebra-handle
-Wire cutters: https://christinewhitestyle.com/collections/tools/products/designer-wire-cutter
-24 gauge wire: https://christinewhitestyle.com/collections/wire-and-stringing-materials/products/non-tarnish-24-gauge-wire
º º º FIND & FOLLOW Christine White º º º
º º º THANK YOU FOR SUBSCRIBING º º º
Milo Katrak thanks for watching! And for your feedback! This was one of my earlier videos and we are constantly working on improving camera angles and the viewer experience. Hope you’ll check out some of my newer stuff, too!! 🤗📿🌸
I have always wanted to incorporate beads into chain but never knew how. Thanks for your easy to follow directions and your nice up close ups really make it easy to understand and know what I’m doing! Thanks!
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.