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
Articles
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
1,582 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
2,550 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)
4,320 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
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)
1,005 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
1,121 reads
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.
2026-03-06
2026-03-04
3,212 reads
Blogs
On Speaking Well
By Brian Kelley
Professor Patrick Winston of MIT used to give a one-hour talk about how to...
Monday Monitor Tips: Oracle Custom Metrics
By Steve Jones
One of the popular features of Redgate Monitor has been the ability to add...
Walking Through a Planned Failover: SQL Server Always On Availability Groups on Kubernetes
When building the sql-on-k8s-operator, I wanted to make sure it could handle both planned...
Forums
Creating a JSON Document II
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Backing Up Azure Key Vault EKM Key: Stairway to TDE Level 6
By VishnuGupthanSQLPowershellDBA
Comments posted to this topic are about the item Backing Up Azure Key Vault...
Every Database Has Problems
Comments posted to this topic are about the item Every Database Has Problems
Question of the Day
Creating a JSON Document II
I want to create a JSON document that contains data from this table:
TeamID TeamNameCity YearEstablished 1 Cowboys Dallas 1960 2 Eagles Philadelphia 1933 3 Packers Green Bay 1919 4 Chiefs Kansas City 1960If I run this code, what document(s) is/are returned?
SELECT json_objectagg( n.city : n.TeamName) FROM dbo.NFLTeams;See possible answers