***PROJECT MATERIALS LINKED BELOW***
Are you ready to let your designs BLOSSOM? Let your average beads come to LIFE with some simple techniques that will have you looking at things in a whole new light. I'll show you how to use teardrop-shaped beads to create a simple flower. Next, we'll explore how ANY flat bead can become a beautiful petal using some simple headpin and wire techniques. Let's get this (((garden))) party started!
24 Gauge Wire: https://christinewhitestyle.com/collections/wire-and-stringing-materials/products/non-tarnish-24-gauge-wire
E6000 Adhesive: https://christinewhitestyle.com/collections/tools/products/e6000-glue
Top Drilled Teardrop Option: https://christinewhitestyle.com/products/conch-shell-teardrops-10-pack
Flat Quatrefoil Option: https://christinewhitestyle.com/products/mother-of-pearl-faceted-grade-a-quatrefoil-2-pack
Flat Glass Bead Option: https://christinewhitestyle.com/products/flat-czech-glass-4-pack
Three Inch Gold-filled Headpins: https://christinewhitestyle.com/collections/headpins/products/goldfill-headpin-2-and-3
Assorted Tools: https://christinewhitestyle.com/collections/tools/products/3-piece-tool-set
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.