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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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Using a SSRS Report to run SQL Agent Jobs

  • 12 November 2009
  • Author: DevinKnight
  • Number of views: 17358

Data Warehouse latency is often a complaint I have heard from end users when trying to access data via either Reporting Services reports or Excel.  Generally, I promise 24 hour latency unless the job mandates updates hourly or even sooner. 

With these complaints in mind I decided to create a report that could kick off the SQL Agent job that processed my Data Warehouse load and Cube update.  It is a pretty simple report to create.  Here are the steps I did:

Step One

Create a Data Source that points to MSDB on the server that the SQL Agent job that you want to run is located.

Step Two

Create a DataSet that runs the system stored procedure sp_start_job with the name of the job.


Step Three

Add some text!  Let the user know what’s going on after they click on the report otherwise it will just show a blank report.  Drag a textbox over and add the appropriate text.

Deploy the report and test!

There are some circumstances where you would not want to use this method:

·         Running the job in the middle of the day could severely cripple a transactional system that the Data Warehouse load pulls from.

·         The job takes longer than just a few minutes to process.  Remember you are trying to improve latency.  You don’t want to expose a poorly performing load process (even if the performance time is due to the size of the load not bad code)

·         You haven’t trained your end users in what the report does.  You don’t want end users clicking this report over and over again because it is running a major process.


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