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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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Power BI Q&A Preview Now Live On Your Data

  • 18 December 2013
  • Author: DevinKnight
  • Number of views: 3478

With the recent updates to the Power BI preview and Q&A features added I thought I would do a quick tutorial of how it all works.  This post will walk you through uploading a workbook to Power BI, Using Q&A against that workbook, enhancing the workbook with synonyms and the creating features questions.

First, sign up for a trial at  Once your trial Power BI site has been issued to you login and add your own Power Pivot workbook by selecting Add as shown below.


After you add your own workbook click the context menu and select Add to Q&A.


Next select Search with Power BI Q&A in the top right corner of the site.


This will present you with an empty textbox that is waiting for you to ask a question of your data.  Earlier when I added my own workbook I added a workbook that has presidential election data in it.  So I ask a question about the “Total popular votes by state”. 


With this small amount of information I provide Q&A realizes I’m asking for the Total Popular Vote metric from my Power Pivot model and that I want to see this information by state, which is also in my Power Pivot model. 


A couple other interesting things are presented here.  In the top right there are some hints on getting better search results for this workbook.  If you follow the help link there is some guidance on adding synonyms to your Power Pivot model:

I wrote briefly about synonyms being added to Power Pivot as well here.  Adding synonyms will allow my users to have more flexibility when interacting with Q&A.  Currently without synonyms in my model I must ask very specific question that reference column names exactly how they appear in my Power Pivot model. 

However, with synonyms added to my model I could add other variations of how users may ask my question of “Total popular votes by state”. 

Below I’ve added a synonym to my model on to Total Popular Vote metric.  Synonyms are entered with a comma separated list so I’ve added “votes” as a synonym for Total Popular Vote.


After publishing this workbook back to the Power BI site I can now ask the question more like an end user would.  This time I ask for “votes by state” and get the same results as expected.  This shows how you will start designing your Power Pivot models that you plan on publishing within Q&A.


The last nice new feature that is available in the Power BI Q&A preview is featured questions.  Featured questions are inquires that you would like to highlight on the Power BI site as common questions users ask.  These were in the preview before but you could not create your own. 

To create a featured question you simply click add featured question on the side pane or before you even ask a question click the plus icon (both shown below).

image image

Once you select one of these two options you enter the question and create an icon.  The icon can be small or large, a variety of colors, and with a symbol or even a background image.


Here’s an example of a featured question I created for this election data model.


I really love these new features and I think you will too so go try them out now at

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