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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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How Can I know who has changed anything in SQL?

  • 5 March 2012
  • Author: Anil
  • Number of views: 4600

Hello all,

After such a long time , I would like to post some another blog which might be helpful to the one who works in SQL.

I need to find the one who has changed the tables within my SQL Database that I have created.

For certain reason ,we may need to find /to know who has done any changes within SQL. Such as add view, delete table, modify table, create database, add column, stopped SQL agent job, create new job, modify rules, add roles, new login, and etc.

In order to trace this information and find out my solution, I have researched somewhat and find the solution as.

we can enable and disable the default trace in SQL Server. Meanwhile we can use the default trace enabled option to enable or disable the default trace log files.

If we want to capture the information about who changed the objects in SQL Server. Please try to run the script, which works for me as below:

DECLARE @filename VARCHAR(255)
SELECT @FileName = SUBSTRING(path, 0, LEN(path)-CHARINDEX('\', REVERSE(path))+1) + '\Log.trc'
FROM sys.traces
WHERE is_default = 1;

--Check who dropped and created objects, altered objects
SELECT gt.HostName,
te.Name AS EventName,
FROM [fn_trace_gettable](@filename, DEFAULT) gt
JOIN sys.trace_events te ON gt.EventClass = te.trace_event_id
where gt.ObjectName ='DimTable' and gt.DatabaseName ='Database'
ORDER BY StartTime;
 --DimTable -replace with the trace table and Database -replace with your DB

I am able to find the one who have changed my tables that I have created.

Also we should have to know that, SQL Server only shows you the IP address of the Terminal Server machine. It has no knowledge about how the user connected to that server. You would have to find the RDP logs and enter them into the database somehow to correlate the information. Which still can be inconclusive if there are more than one user connected through RDP at the same time.

I think you really need to find away to get rid of all usage of sa. What you have today is simply not good.

Reference from the link:

Is there any alternative solution for this kind of issue .Hope someone have some idea regarding on this.

Hope this post will be useful for all of us in the field of BI mainly SQL.


Anil Maharjan

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