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«October 2015»

Data Warehouse from the Ground Up at SQL Saturday Orlando, FL on Oct. 10th

SQL Saturday #442SQL 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!

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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:


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Choosing the Right Analysis Services: MOLAP vs. Tabular Recording and Q&A

  • 17 February 2014
  • Author: DevinKnight
  • Number of views: 7018

I hope you were able to attend my free webinar on Choosing the Right Analysis Services: MOLAP vs. Tabular on February 11, 2014 that I delivered with Dustin Ryan.  If you weren’t you can now watch the recording here.

Traditionally following a webinar I try to post a quick Q&A session for everything I was not able to answer in the allotted time. 

Q: Since Tabular solutions are many ways better than Multidimensional..then my question is when to go for Multidimensional solution

You would likely still choose Multidimensional for things that Tabular does not have full feature parity.  For example, Tabular does not have the ability do writeback. 

Some still choose Multidimensional because their data model is very complex and Multidimensional is more forgiving in this regard.  Last, Multidimensional is a more scalable for larger datasets because it is less (still uses memory, CPU, etc.. excessively) reliant on pure memory to get the performance you need, unlike Tabular.  As we mentioned in the webinar, Yahoo chose Multidimensional because it would better scale their 26 terabyte cube.

Q: When deciding whether to use Tabular or Multidimensional, do you have to have SSAS installed / set up specifically for one or the other?

Yes, when setting up SSAS Multidimensional or Tabular they are separate installs.  Meaning they can’t be installed at the same time with the SQL Server installer.  Because of their resource demands you traditionally want to install these instances on separate servers if possible.

Q: How do i link if column have more than one column is key column in tabular?

Great question.  Usually, if you have tables that need to be joined together on multiple columns you have create a key column that combine the values into a single column either through DAX or through the source query extract.

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