Stairway to Azure SQL Hyperscale Level 6: Backup and Restore Internals
Learn how backup and restore work in Azure SQL Hyperscale in this next level in the stairway series.
The Challenge of AI
Steve sees a lot of challenges ahead for AI, especially in the area of labor and employment.
15 Practical Tips for Securing SQL Server
Securing SQL Server isn’t complicated, but it does require consistent attention to the areas where real risks arise, such as privileges, configuration, encryption, patching, and monitoring. This article outlines 15 practical, high-impact steps you can take to harden your SQL Server environment.
Growing Artificial Intelligence
This week Steve Jones discusses artificial intelligence and one of the building blocks that will be needed: data.
Think LSNs Are Unique? Think Again - Preventing Data Loss in CDC ETL
When using only an LSN to track which changes you have processed, you can lose data. This article shows how to avoid this problem.
Query Exercise Answer: Generating Big TempDB Spills
In last week’s Query Exercise, I challenged you to play some code golf to generate big spills with tiny T-SQL.
The AI Bubble and the Weak Foundation Beam
The problem that I continue to struggle with the AI Bubble is not innovation, but who has leverage. The AI industry has quietly constructed a capital stack with too many mutual dependencies and too few independent cash flows. When AI profitability hiccups, the financial impact does not land in one place. It cascades across the entire championship and everyone loses and not all players are equally positioned to survive it. This is the AI Bubble in a foundational nutshell.
Refactoring SQL Code
Refactoring code is a common task in many software development teams. Steve asks if this is something common for database developers as well.
Working with JSON/JSONB Data in PostgreSQL using Python
This article discusses how to work with JSON data in PostgreSQL using Python.
How to Monitor and Optimize Batched Deletion Processes in SQL Server
Batched deletions are a common strategy in SQL Server to manage large datasets without overloading the system, but poorly tuned deletes can cause blocking, long-running transactions, and heavy log usage. Learn how to monitor and optimize these processes for smooth, efficient database performance.
Blogs
Vibe Coding a Login Tracking System
By Steve Jones
A customer was asking about tracking logins and logouts in Redgate Monitor. We don’t...
4 CPE Opportunity (Virtual) for Charity
By Brian Kelley
Every year, the South Carolina State Internal Auditors Association and the South Carolina Midlands...
Data Céilí 2026 Call for Speakers!
Data Céilí 2026 Call for Speakers is now live! Data Céilí (pronounced kay-lee), is...
Forums
SQL Server audit with windows ad group
I am trying to create a filter on a SQL Server audit to capture...
Deadlock graph anomaly
I've come across what appears to be a strange deadlock anomaly. As seen in...
Stairway to Azure SQL Hyperscale Level 6: Backup and Restore Internals
Comments posted to this topic are about the item Stairway to Azure SQL Hyperscale...
Question of the Day
Deprecated Feature Tracking
From T-SQL, without requiring an XEvent session, can I tell which deprecated features are being used on my instance?
See possible answers