A real world story of how someone moved from Enterprise Edition to Standard for not only the SQL Server database engine, but also with SSRS, SSIS, and SSAS.
2026-07-22
2,689 reads
This article documents a SQL injection vulnerability I discovered in sys.sp_dbmmonitorupdate, a Microsoft-signed system stored procedure. For other SQL Server security vulnerabilities I’ve discovered, see the full series here.
2026-07-22
In this article, you’ll learn step-by-step setup, Python code implementation, troubleshooting, and best practices to ensure your solution is secure and scalable.
2026-07-20
1,264 reads
Large databases usually have a negative impact on maintenance time, scalability and query performance. For maintenance, these large single databases have to be backed up daily while the amount of actual changing data might be small. For performance, tables without correct indexes result in full table or clustered index scans. As the data grows the total query time increase linearly. How can we decrease downtime for the maintenance window for large databases and optimize the performance of daily queries?
2026-07-20
Learn about implicit conversions, which can dramatically affect the performance of your workload.
2026-07-17
2,908 reads
Learn how to use VECTOR_DISTANCE and VECTOR_SEARCH in SQL Server to find semantically similar data.
2026-07-17
Learn about using classification as a technique to prepare your data for additional machine learning analysis.
2026-07-15
757 reads
I work with databases for a living. I teach people, and I help them via consulting. And as far as I can remember, I’ve never written something about how b-trees work.
2026-07-15
This article examines three recurring database-layer failures documented in the EDPB’s 2026 enforcement findings: the complexity of executing erasure across relational schemas, the backup paradox that can silently undo compliant deletions, and the audit log contradiction that traps organizations between two competing obligations.
2026-07-14 (first published: 2026-07-13)
This article shows how the TRY_PARSE() and TRY_CONVERT() functions can be used to handle data quality issues and ensure that your software continues to function without throwing errors.
2026-07-13
3,214 reads
By James Serra
Originally published April 2022; substantially updated July 2026. This post is a complete replacement...
The idea behind Azure SQL Developer is for anyone to build, iterate, and test...
By Steve Jones
I’m sure many of you are using AI regularly, perhaps chatting, perhaps using some...
Comments posted to this topic are about the item Can You Really Downgrade from...
Comments posted to this topic are about the item What is CPU Usage?
Comments posted to this topic are about the item Limiting Checkpoints
If I use the -k parameter with a number after it, what does this change in SQL Server?
See possible answers