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.
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.
Blogs
Microsoft Fabric Data Agents: Bringing Structured and Unstructured Data Together
By James Serra
Most enterprise questions do not live neatly in one place. The numbers may be...
Keeping Redshift System Table History Past 7 Days with S3 Tables
Redshift keeps its SYS_* monitoring views for seven days in cluster, which is fine...
Updating the Data API Builder
By Steve Jones
I was updating my session for the Data API Builder (DAB) recently, mostly to...
Forums
Parameter Sensitive Plan Optimization vs. Parameter Sniffing: What SQL Server Fixes and What It Doesn't
Comments posted to this topic are about the item Parameter Sensitive Plan Optimization vs....
Hyperscale Replicas I
Comments posted to this topic are about the item Hyperscale Replicas I
The End of Summer
Comments posted to this topic are about the item The End of Summer
Question of the Day
Hyperscale Replicas I
What types of secondary replicas are available for the Azure SQL Database Hyperscale edition?
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