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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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Why Query When You Can LINQ

  • 27 April 2010
  • Author: Ben Evans
  • Number of views: 1703

Why Query When You Can LINQ



LINQ is a abbreviation for Language Integrated Query, Which is just a fancy way of saying in that while in .net code you can write out your queries as if it were as simple as any other statement in you native programming language. For instance back it that distant past of 2006 a c# programmer would create a data table receiving object or some other in memory container. Then if up to standards create a data read and write object for the particular database, which would eventually have a query would be called with it filling the data table. But what if in memory objects, relational databases, and XML files could all be treated the same as OBJECTS! Objects such a magical word to us programmers, it could bring a tear. But it doesn’t stop there, there is in fact some performance gains to think over.

LINQ Performance

Of course the numbers vary based on circumstance and almost any bit of code can show slow performance if written incorrectly. With this in mind Uncompiled LINQ performance is will not wow anyone. It is in fact about 20% slower than traditional queries. But once compiled LINQ can show performance increases up to x6.0. Here is a great LINQ comparison with

Using LINQ

LINQ can integrate with a database in several ways. At heart LINQ is O/RM which means it would best work directly with the database, making each table an object. Each object can then be joined as needed and CRUD operations performed. Okay, I know you DBA’s out there are not to happy with that prospect! But LINQ also supports views and stored procedures. Here is a few examples.

public class Customer
            public string ProductID;

            public string ProductName;

            public string Description;

            public string Quantity;


Vola our object is created know lets use it.

DataContext db = new DataContext();

var q = from p in db.Products
            where p.ProductName == "DTS xChange"
            select p;


Further Reading and Sources

Here are a few articles that have helped me and may interest you.

Intro to LINQ


Good Bye SP's

LINQ vs.

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