I recently resolved an issue where a query pulling data from the last 30 days would time out due to the table’s size and the lack of a supporting index. Creating a supporting index is possible, but not ideal; it will be very large and may not be useful for most queries and use cases. I wonder how I could implement a filtered index that follows time and is always limited to the last n days.
2025-09-10
This article looks at using the FP-Growth algorithm from Python to mine data in SQL Server.
2025-09-08
2,742 reads
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.
2025-09-08
This article shows how you can easily create connections in your Power BI workspace that use Identity Authentication to connect to your data.
2025-09-05
3,613 reads
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.
2025-09-05
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.
2025-09-03
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.
2025-09-02 (first published: 2025-08-05)
2,526 reads
2025-09-02 (first published: 2025-08-04)
573 reads
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.
2025-09-02 (first published: 2025-08-06)
2,476 reads
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 […]
2025-09-02 (first published: 2025-08-04)
1,232 reads
In last months one of the scenarios where you can use AI has been...
By ChrisJenkins
Do you spend so long manipulating your data into something vaguely useful that you...
By Steve Jones
It was neat to stumble on this in the book, a piece by me,...
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In SQL Server 2025, a backup can be made on Azure Immutable Storage. What changes in how the backup is created?
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