April 2012
Intermediate to advanced
240 pages
5h 16m
English
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Consolidating using dimension hierarchies
The data you import into a cube provides a snapshot of your business at a specific level of detail. For example, you might import your weekly or monthly sales for your surfboards in dollars for a specific city in which they were sold. The dimension elements that identify these data points are simple or leaf-level elements in each dimension. These data points can be surfboards sold in one week and in a particular city.
By using dimension hierarchies, you can easily aggregate numeric data into categories that are meaningful in your analyses. Each category corresponds to an aggregation of detail for two or more elements in a dimension. For example, you could create quarterly elements that sum monthly sales ...
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.