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
A Cloud Dependency Failure from Amazon
By Steve Jones
I went to sleep while reading a Kindle book on my phone. I know...
Deploying AI in logistics (the unfiltered version)
A conversation with Jan Laš, CIO at HOPI, about what deploying a data agent...
T-SQL Tuesday #198 Invitation: How Do You Detect Data Changes?
It's time for T-SQL Tuesday #198! This month's topic is change detection. The post T-SQL...
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Question of the Day
Creating a JSON Document III
I have this data in a table called dbo.NFLTeams
TeamID TeamName City YearEstablished ------ -------- ---- --------------- 1 Cowboys Dallas 1960 2 Eagles Philadelphia 1933 3 Packers Green Bay 1919 4 Chiefs Kansas City 1960 5 49ers San Francisco 1946 6 Broncos Denver 1960 7 Seahawks Seattle 1976 8 Patriots New England 1960If I run this code, how many rows are returned?
SELECT TOP 2
json_objectagg('Team' : TeamName)
FROM dbo.NFLTeams;
See possible answers