How to Use sqlpackage to Detect Schema Drift Between Azure SQL Databases
This article explains how I use sqlpackage to detect schema drift and generate a delta script that shows exactly what’s different.
2026-03-13
1,410 reads
Articles
What’s New in SSMS 22
SSMS 22 has several new features. Is there a compilation list of the new features? How will these features help me as a SQL Server professional?
2026-03-13
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.
2026-03-11
1,357 reads
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?
2026-03-11
Designing Delta Tables with Liquid Clustering: Real-World Patterns for Data Engineers
Get a short introduction to Liquid Clustering in Databricks.
2026-03-09
2,034 reads
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 […]
2026-03-09 (first published: 2026-02-18)
3,845 reads
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.
2026-03-09
Webinar: Compliance Without Compromise: Test Data Management That Finally Fits
You know you shouldn't have production data in test environments. But every time you look at fixing it, the options feel impossible: enterprise tools that cost six figures and take months to implement, or DIY scripts that sort of work until they don't. Join this webinar on Mar 18 to learn more.
2026-03-09
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.
2026-03-07 (first published: 2025-12-10)
871 reads
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 […]
2026-03-06
1,037 reads
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How to Use sqlpackage to Detect Schema Drift Between Azure SQL Databases
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Question of the Day
Upgrading Admin Queries
I have a query from a former DBA that we run on SQL Server 2025 to check on database metadata. This query references sys.sysaltfiles. I want to refactor this code to be more modern. Which DMV should I reference instead?
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