Using the FP-Growth Algorithm to Mine Useful Patterns in Data
This article looks at using the FP-Growth algorithm from Python to mine data in SQL Server.
How to Use the New PRODUCT() Function in SQL Server 2025
Introduced in SQL Server 2025 CTP 1.3, the PRODUCT() function acts similarly to SUM(), but multiplies values rather than adds them. It is an aggregate function in SQL Server and therefore operates on a data set, rather than on scalar values.
Guidelines and Requirements
We have some requirements that we meet a particular setting or value, but often we have guidelines and recommendations. Do you know the difference?
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.
Blogs
The #MS_DatabaseConnector## Role: #SQLNewBlogger
By Steve Jones
I had seen these roles in various instances, but never dug into the new...
Asking for Help Isn’t a Weakness
By Brian Kelley
During COVID, I attended training on software/enterprise architecture given by Mark Richards. One of...
The Proof of the Backup Is in the Pudding
For me, the objective is straightforward: have a backup strategy that is reliable, understandable,...
Forums
Pay for Performance
Comments posted to this topic are about the item Pay for Performance, which is...
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Question of the Day
The ##MS_DatabaseConnector## User
On SQL Server 2025, I run this code as a sysadmin:
CREATE LOGIN Demo WITH PASSWORD = 'Demo1234567' GO ALTER SERVER ROLE ##MS_DatabaseConnector## ADD MEMBER Demo GOI then login as Demo and run this:
USE sandbox go SELECT CURRENT_USERWhat is returned? See possible answers