Requiring Technical Debt Payments
Steve found someone using an interesting approach to get developers to address some technical debt.
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.
Blogs
Automated SQL Server Benchmarking with HammerDB and Docker: A Complete Testing Framework
I’m excited to announce the release of a new open-source project that fully automates...
Automated SQL Server Benchmarking with HammerDB and Docker: A Complete Testing Framework
I’m excited to announce the release of a new open-source project that fully automates...
Advice I Like: Praise
By Steve Jones
Don’t reserve your kindest praise for a person until their eulogy. Tell them while...
Forums
Change Tracking Data Retention Options
Comments posted to this topic are about the item Change Tracking Data Retention Options
Requiring Technical Debt Payments
Comments posted to this topic are about the item Requiring Technical Debt Payments
Using the FP-Growth Algorithm to Mine Useful Patterns in Data
Comments posted to this topic are about the item Using the FP-Growth Algorithm to...
Question of the Day
Change Tracking Data Retention Options
If I am running this code:
ALTER DATABASE AdventureWorks2017 SET CHANGE_TRACKING = ON (CHANGE_RETENTION=4 xxx);What are the possible choices for xxx? See possible answers