Designing Delta Tables with Liquid Clustering: Real-World Patterns for Data Engineers
Get a short introduction to Liquid Clustering in Databricks.
Fun with JSON
Last year, I used a lot of JSON to exchange data between systems. There are several ways to extract data from a JSON file, but there is one specific, probably less-used possibility that I’d like to highlight. For one project, I received JSON files containing a variable number of parameters and their values. If I […]
Not Just an Upgrade
Choosing to upgrade isn't as simple as many of us would like. Steve has a few thoughts today on the decision to move to a new version of a database server.
SQL Server Long-Running Query Detection: How to Find and Monitor Slow Queries
Monitoring and alerting can be overwhelming tasks, especially for those new to the world of managing production data. One common challenge for any data professional is the identification and management of queries that run for longer than they should.
Metadata Driven Pipelines (Incremental Load): The Fabric Modern Data Platform
This article will use the incremental data load pattern to load data in our raw zone tables.
Why End-User Testing Is Even More Important with AI
I don’t think I’m alone in this frustration, but it crystallized for me recently while trying to do something that should have taken less than two minutes: check in for a flight. What followed was a cascade of app switching and authentication failures. I started in my favorite travel app, moved to one airline app, […]
Supervised versus Unsupervised Training of an Artificial Neural Network
Supervised training of an artificial neural network entails training the network to associate defined patterns with specified labels. Optical Character Recognition is an example of supervised training, where each input pattern is mapped to an alphanumeric character. In unsupervised training, a neural network learns to extract recurring patterns from noisy data. One of the earliest […]
Writing as an Art and a Job
Steve thinks communication is a core sill for technology people, especially in the age of AI.
How to Help Copilot Encourage Good Database Standards
I know a lot of y’all lag behind on upgrading SSMS, but v22.3 just introduced something that you need to be aware of. It’s going to impact any of your users who DO upgrade their SSMS, or who use Github Copilot. There’s something that you can do in order to improve Copilot’s code quality and make it match your preferred coding standards.
Blogs
Funny Money: #SQLNewBlogger
By Steve Jones
While wandering around the documentation looking for some Question of the Day topics, I...
Why Database AI Agents need Layers?
By Arun Sirpal
Third part in my Ai series with databases. When building AI solutions within the...
Un-Migrating From the Cloud: T-SQL Tuesday #199
By Steve Jones
This month we have a very interesting invitation from Koen Verbeeck. He has hosted...
Forums
How Do the Experts Become Experts?
Comments posted to this topic are about the item How Do the Experts Become...
Stairway to Reliable Database Deployments Level 4 – Preparing for Production Deployment
Comments posted to this topic are about the item Stairway to Reliable Database Deployments...
Secure Communications
Comments posted to this topic are about the item Secure Communications
Question of the Day
Secure Communications
As of June 2026, what is the best version of TLS to use with SQL Server?
See possible answers