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
5,626 reads
Articles
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
3,493 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
3,668 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
1,026 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
Where's the Ops in DevOps? Part 1
In the first of a three-part series, guest bloggers from DevOpsGuys look at the real role of Ops in DevOps. Where it changes, how it changes, and why Ops...
2017-06-23
3,752 reads
Blogs
Getting the SQL Server MCP Server Running
By Steve Jones
If you’ve wanted a SQL Server MCP server for your databases, it’s available. The...
Introducing azsql-migration-test: Test and Validate Azure SQL Database Migrations
Introducing azsql-migration-test, a small open-source CLI that validates your Azure SQL Database migrations against...
Rambling about Data on Wheels – origins, branding, expansion
By DataOnWheels
I have been asked many times about how the name “Data on Wheels” came...
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DBCC CHECKDB Limits III
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CROSS APPLY Fundamentals: Part 1
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Question of the Day
DBCC CHECKDB Limits III
On SQL Server 2025, does DBCC CHECKDB support Memory-Optimized tables?
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