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
2,279 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
1,224 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
2,858 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
747 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
3,193 reads
By Steve Jones
I’m sure many of you are using AI regularly, perhaps chatting, perhaps using some...
By Vinay Thakur
This blog series on Audit/Compliance/Security, this is first blog where we would discuss about...
In the previous post, we've built a SQL Server 2025 sandbox in an OrbStack...
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If I use the -k parameter with a number after it, what does this change in SQL Server?
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