Export data from SQL Server to Excel
What native SQL Server options are available to export to Excel? Jeremy Kadlec explains.
2017-06-30
5,930 reads
Articles
Scoring Outliers in Non-Normal Data with R
Using R to detect outliers is relatively easy, but most methods assume your data is normally distributed. How do you handle skewed datasets?
2017-06-29
5,572 reads
Azure Automation Methods
Tim Radney of SQLskills walks through multiple automation methods you can use to manage and maintain your Azure SQL Databases.
2017-06-29
3,697 reads
Replace Bad Characters in Table
Learn how to clean bad characters from lots of data in this article.
2017-06-28
3,482 reads
Generating HTML from SQL Server Queries
You can produce HTML from SQL because SQL Server has built-in support for outputting XML, and HTML is best understood as a slightly odd dialect of XML that imparts meaning to predefined tags. There are plenty of edge cases where an HTML structure is the most obvious way of communicating tables, lists and directories. Where data is hierarchical, it can make even more sense. William Brewer gives a simple introduction to a few HTML-output techniques.
2017-06-28
5,489 reads
Filegroup Restoring and Database Consistency
In this article, we'll explore a less used feature of SQL Server: filegroup restoring, feature that has an interesting consequence because database can become inconsistent without any warning and standard checks don't reveal any issue.
2017-06-27
3,615 reads
How to Read the Transaction Log File
Have you ever wanted to be able to see the actual transactions that are contained in the transaction log file? Greg Larsen shows you how to browse the transaction log using an undocumented function.
2017-06-27
4,882 reads
Workplace Encounters: Using Volume Mount Points in SQL FCIs
How we overcame the A to Z Windows Drive-Letter limitation using Volume Mount Points
2017-06-26
1,024 reads
A DLM Approach to Database Testing
Database Lifecycle Management aims to make the development and modification of databases more predictable. Bugs are the source of more unpredictability than anything else, purely because it is so difficult to guess how long it will take to fix them. Good testing at all stages may take some time and effort, but it greatly reduces likelihood of the wildcard factor of the bug that is first detected during the deployment process; or worse, that gets into the production release.
2017-06-26
3,875 reads
Getting Started with Azure SQL Data Warehouse - Part 5
In part 5 of this series covering Azure SQL Data Warehouse, Arshad Ali looks at performance optimization.
2017-06-23
3,202 reads
Blogs
RANK() vs DENSE_RANK(): #SQLNewBlogger
By Steve Jones
I haven’t done one of these in awhile, but I saw an article recently...
Using CAT for Testing of Data Agents
In last months one of the scenarios where you can use AI has been...
Are you getting value from your reporting?
By ChrisJenkins
Do you spend so long manipulating your data into something vaguely useful that you...
Forums
Creating JSON II
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Question of the Day
Creating JSON II
On SQL Server 2025, what happens when I run this code:
SELECT JSON_OBJECTAGG( N'City':N'Denver' RETURNING JSON) GOSee possible answers