SQL Server Machine Learning allows you to run R and Python scripts from SQL Server. When SQL Server 2019 was released, Microsoft enhanced the security for this functionality, but it caused some existing code writing to the file system to to break. In this article, Dennes Torres explains the security enhancement and describes three ways to work with it.
2020-03-11
This article shows how to solve a gaps and islands problem using simple algebra.
2020-03-10
5,009 reads
Learn how to format your SQL Server results in Excel using conditional formatting to quickly identify patterns and issues.
2020-03-10
This article will explain how to import the data classification metadata for a SQL Server database into Data Masker, providing a masking plan that you can use to ensure the protection of all this data. By applying the data masking operation as part of an automated database provisioning process, you make it fast, repeatable and auditable.
2020-03-10
Business users get great value from SSAS cubes. In this article, learn how to create a drill-through action in an SSAS multi-dimensional model cube.
2020-03-09
5,376 reads
In this article in the series, Robert Sheldon provides a deep dive into HDDs.
2020-03-09
Phil Factor explains the factors that determine whether a column will allow null values, if you don't specify it explicitly in the column definition. If you rely on the default behavior established by your connection settings, you could be in for some nasty surprises.
2020-03-09
Producing hierarchies from SQL tables can necessitate joining a table to itself. This article will explain how you can do this.
2020-03-06 (first published: 2018-08-30)
24,755 reads
DAX contains a host of time-intelligence functions with exotic names such as SAMEPERIODLASTYEAR and PARALLELPERIOD. In the last article in this series, Andy Brown explains how to write measures using the range of date functions in DAX, and also explains how time-intelligence functions work behind the scenes.
2020-03-06
This article will explain how to import the data classification metadata for a SQL Server database into Data Masker, providing a masking plan that you can use to ensure the protection of all this data. By applying the data masking operation as part of an automated database provisioning process, you make it fast, repeatable and auditable.
2020-03-06
By Steve Jones
We had an interesting discussion about deployments in databases and how you go forward...
By ChrisJenkins
You could be tolerating limited reporting because there isn’t an off the shelf solution...
A while back I wrote a quick post on setting up key mappings in...
Comments posted to this topic are about the item Remotely Engineer Fabric Lakehouse objects:...
Comments posted to this topic are about the item Creating JSON III
Comments posted to this topic are about the item Testing is Becoming More Important
In a SQL Server 2025 table, called Beer, I have this data:
BeerIDBeerName 1Becks 2Fat Tire 3Mac n Jacks 4Alaskan Amber 8KirinI run this code:
SELECT JSON_OBJECTAGG(
BeerID: BeerName )
FROM beer;
What are the results? See possible answers