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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:
A while ago, I showed you how to find out what indexes were on a table using the GUI. Today, I am going to show you a quick query to determine the indexes for ALL tables in a database. The results will also show you whether it is a CLUSTERED or NONCLUSTERED index. Script 1 below will return ALL indexes in the AdventureWorksDW2008R2 database (available on Codeplex). If you want to see what indexes are in your environment, just modify the USE statement at the top of the script. Figure 1 shows sample results of executing this query.
Script 1: List All Indexes
so.name AS TableName
, si.name AS IndexName
, si.type_desc AS IndexType
JOIN sys.objects so ON si.[object_id] = so.[object_id]
so.type = 'U' --Only get indexes for User Created Tables
AND si.name IS NOT NULL
Figure 1: Sample Results – All Tables
I hope that you have enjoyed this quick blog. If you did, please rate it! Also, if you don’t already, please be sure to follow me on twitter at @briankmcdonald. Also note that you can subscribe to an RSS feed of my blogs here. Until next time, thank you for reading, Brian K. McDonald, MCDBA, MCSDBusiness Intelligence Consultant – Pragmatic WorksEmail: email@example.com | Blogs: SSRSGeek | SQLServerCentral | BIDNTwitter: @briankmcdonald | LinkedIn: http://tinyurl.com/BrianKMcDonald
I hope that you have enjoyed this quick blog. If you did, please rate it! Also, if you don’t already, please be sure to follow me on twitter at @briankmcdonald. Also note that you can subscribe to an RSS feed of my blogs here.
Until next time, thank you for reading,
Brian K. McDonald, MCDBA, MCSDBusiness Intelligence Consultant – Pragmatic Works
Email: firstname.lastname@example.org | Blogs: SSRSGeek | SQLServerCentral | BIDN
Twitter: @briankmcdonald | LinkedIn: http://tinyurl.com/BrianKMcDonald
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