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?
Steve notes SQL Server 2016 went out of support this past week. What are you plans if you run this version?
Learn about implicit conversions, which can dramatically affect the performance of your workload.
Preparing for disaster is important, both at work and in your personal life.
Learn how to use VECTOR_DISTANCE and VECTOR_SEARCH in SQL Server to find semantically similar data.
Security is an important consideration for anyone working with data, but it's especially a concern with AI.
Learn about using classification as a technique to prepare your data for additional machine learning analysis.
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.
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.
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The Data API Builder MCP Server, v2.x, includes a number of tools. What actions can these tools perform in your database?
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