How to get clean, usable data out of SQL Server into Python
Build scalable data pipelines by pushing transformations into SQL and keeping Python focused on analysis.
Build scalable data pipelines by pushing transformations into SQL and keeping Python focused on analysis.
Steve notes that building great software isn't easy, and there is a lot of work that goes into this. Even in today's age of AI.
In Part 2 of this series we learn how OUTER APPLY can be used in your queries to return data, even when there are no matches between tables.
SQL Server Availability Groups are great for DR and HA purposes. In this article, we look at how to setup a SQL Server 2025 Availability Group using the features in SQL Server Management Studio.
See how a small local model performs on some SQL tasks. This shows how Ollama can run a model on your laptop.
Today Steve notes that he often compares the work a computer does to what might happen if the same actions occurred in the physical world.
The article covers four connected areas: over-privileged database users, msdb and SQL Server Agent exposure, privileged maintenance jobs, and trigger-based permission hijacking.
Managing incidents as a DBA /DB manager and some of the key things you should be doing.
Learn how the BIT_COUNT() function works and how it enabled operations where data is stored in bits.
Redshift keeps its SYS_* monitoring views for seven days in cluster, which is fine...
By Steve Jones
I was updating my session for the Data API Builder (DAB) recently, mostly to...
I am excited to host T-SQL Tuesday for the first time. I want to...
Working with SQL Server can involve more than just writing queries. Understanding database design,...
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I have 3 instances of a brand new long running query that are executing on a SQL Server 2025 instance. Query store is enabled. One of the queries is killed by the administrator, one is cancelled by the user. The other runs to completion. How many rows are in Query Store for this query?
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