Workspace Identity Authentication for your Power BI Semantic Models in Microsoft Fabric
This article shows how you can easily create connections in your Power BI workspace that use Identity Authentication to connect to your data.
SQL Server Triggers for Business Rules Automation
The advantage of using triggers is that the same processing can occur regardless of where or how the data has been inserted, updated or deleted. In this article, we look at several examples of where and why triggers could be useful along with an example use case.
Concerns over AI Chat Privacy
Many of the GenAI services are using the free model of the past, where they use your data in ways you might not expect. Now, a court is ensuring OpenAI keeps your chat data around.
Introduction of Azure SQL Hyperscale: Stairway to Azure SQL Hyperscale Level 1
In Level 1 of the Stairway to Azure SQL Hyperscale, we learn about the architecture and create a hyperscale instance.
How to Script Dimensions with data build tool (dbt) Macros
In this article, we’ll revisit the dimension models we created. We wrote the entire SQL statement for the dimension by hand, and the dimensions themselves were very rudimentary; they lacked a surrogate key and there were no audit columns (such as insert date and update date). We’ll show you how we can expand the dimensions using Jinja, but also how we can minimize development effort by baking reusable patterns into the Jinja code.
Advanced SQL Server Page Forensics: Detecting Page Splits and Allocations with DBCC PAGE
Page splits are an often-overlooked performance killer in SQL Server. In this article, we take a forensic look at how serial inserts differ from mid-table inserts, revealing why inserting rows out of order causes hidden page splits, increased IO, and fragmentation. Using a wide-column table, we demonstrate both scenarios and decode their impact with page-level analysis.
Deprecated but Forgotten: Why SQL Server’s Text, NText, and Image Data Types Still Haunt Your Systems
TEXT, NTEXT, and IMAGE columns have been deprecated for nearly two decades, yet they still silently haunt many SQL Server environments. This article explains their hidden limitations with practical demos and shows why migrating to VARCHAR(MAX), NVARCHAR(MAX), and VARBINARY(MAX) is critical for modern performance, maintainability, and future upgrades.
How to Access and Use Azure Key Vault Secrets in an Azure Devops Pipeline
When you run a CI/CD pipeline, you often need confidential values like passwords, authentication tokens, service principal secrets etc. when you want to deploy a certain artefact. You don’t want to store those secrets directly in your pipelines as this might pose a considerable security leak. Instead, you either store them as secret variables, or […]
How to safely and surgically restore filegroups
Most DBAs are familiar with full and differential ...
Blogs
Local Models Using GPUs with Ollama
By Steve Jones
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Don’t Fear the Technology
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The concern that a particular technology is going to destroy the world seems to...
Creating a Custom SQL Server Security Checklist Using the DoD STIG
The STIG is detailed, which is a good thing, but I found myself wanting...
Forums
RegEx Functions III
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Optimized Locking in SQL Server 2025: Fewer Locks, Less Blocking, and the Cases It Cannot Fix
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Finely Tuned Models
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Question of the Day
RegEx Functions III
If I run the REGEXP_LIKE() function, does it match values in a case-sensitive fashion, or a case-insensitive fashion by default.
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