Going Native with Fabric Spark Pools: The Fabric Modern Data Platform
The next installment of the Fabric Modern Data Platform looks at Spark pools for executing code.
Getting Started with mssql-python for Data Developers
rogrammatic interaction with SQL Server or Azure SQL from a Python script is possible using a driver. A popular driver has been pyodbc that can be used standalone or with a SQLAlchemy wrapper. SQLAlchemy on its own is the Python SQL toolkit and Object Relational Mapper for developers. In the end of 2025 Microsoft released v1 of their own Python SQL driver called mssql-python. How do you get started using mssql-python for programmatic access to your SQL Server?
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.
Blogs
A New Word: Gnossienne
By Steve Jones
gnossienne– n. the awareness that someone you’ve known for years still has a private...
Exploring DiskANN: Part I: Understanding the Algorithm before the disk
How I used AI for this postChatGPT to generate images based on info specifically...
Learning Tool – Deepstash
By Brian Kelley
A few months ago I started using Deepstash. Deepstash breaks books into the key...
Forums
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When the Token Meter is Zero
Comments posted to this topic are about the item When the Token Meter is...
Question of the Day
The Data API Builder MCP Server Tools
The Data API Builder MCP Server, v2.x, includes a number of tools. What actions can these tools perform in your database?
See possible answers