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Data Warehouse from the Ground Up at SQL Saturday Orlando, FL on Oct. 10th
SQL Saturday #442 is upon us and yours truly will be presenting in Orlando, Florida on October 10th alongside Mitchell Pearson (b|t). The session is scheduled at 10:35 AM and will last until 11:35 AM. I’m very excited to be presenting at SQL Saturday Orlando this year as it’ll be my first presenting this session in person and my first time speaking at SQL Saturday Orlando! If you haven’t registered yet for this event, you need to do that. This event will be top notch!
My session is called Designing a Data Warehouse from the Ground Up. What if you could approach any business process in your organization and quickly design an effective and optimal dimensional model using a standardized step-by-step method? In this session I’ll discuss the steps required to design a unified dimensional model that is optimized for reporting and follows widely accepted best practices. We’ll also discuss how the design of our dimensional model affects a SQL Server Analysis Services solution and how the choices we make during the data warehouse design phase can make or break our SSAS cubes. You may remember that I did this session a while back for Pragmatic Works via webinar. I’ll be doing the same session at SQL Saturday Orlando but on-prem! ;)
So get signed up for this event now! It’s only 11 days away!
Create Date Dimension with Fiscal and Time
Here are three scripts that create and Date and Time Dimension and can add the fiscal columns too. First run the Dim Date script first to create the DimDate table. Make sure you change the start date and end date on the script to your preference. Then run the add Fiscal Dates scripts to add the fiscal columns. Make sure you alter the Fiscal script to set the date offset amount. The comments in the script will help you with this.
This zip file contains three SQL scripts.
Create Dim Date
Create Dim Time
Add Fiscal Dates
These will create a Date Dimension table and allow you to run the add fiscal script to add the fiscal columns if you desire. The Create Dim Time will create a time dimension with every second of the day for those that need actual time analysis of your data.
Make sure you set the start date and end date in the create dim date script. Set the dateoffset in the fiscal script.
Download the script here:
Often times, you want to analyze sales using a year to date view as shown below:
While you can do this in an MDX formula in SSRS, you might find this calculation valuable enough to store a server-side calculation. To do this, you'll need to pick what date dimension or role playing dimension you want to slice this by. After you know that, you can use an MDX calculation as shown below for this:
Sum(YTD([Delivery Date].[Calendar].CurrentMember),[Measures].[Internet Sales Amount])
This will show a rolling YTD for any given date level in my Delivery Date role playing dimension. In other words, If I'm at the year level, I'll see entire year's sales. As I drill in to March, I'll see only the sales up to March. In my example, [Delivery Date].[Calendar] represents a user hierarchy so I can then point to any level of the hierarchy.
Other posts by Brian Knight