SQL Server is Getting Smarter
SQL Server is becoming more capable all the time, requiring fewer human resources for basic management.
SQL Server is becoming more capable all the time, requiring fewer human resources for basic management.
Partitioning data is a standard SQL Server administration practice. Partitions enable independent administration of different slices of data. When a SQL Server Analysis Services (SSAS) tabular data model is developed and processed, data is read from the source system and loaded into the tabular data model configured in In-Memory processing mode. Every time the model is processed, the entire data set may not require re-processing. Only certain slices of data containing changes may require re-processing which can be achieved by partitioning data into logical slices. In this post, Siddharth Mehta looks at how to partition tables in Tabular SSAS.
When you are doing the rapid deployment of an updated SSIS project, there are a number of things you have to check to make sure that the deployment will be successful. These will include such settings as the values in environment variables, Package parameters and project parameters. The DbFit test framework turns out to be ideal for the purpose of doing final checks as part of a deployment process, as Nat Sundar demonstrates.
In this article, I will provide a set of examples to showcase the use of OUTPUT clause in capturing the results of the updated rows into a table variable for the UPDATE statements.
Prefer tabs but your teammates use spaces? That's not a problem with the brand new formatting options in SQL Prompt. It's now possible to customize, save, and share multiple styles that you can then quickly switch between when working. Here's how it works, and how to get set up.
Paul White describes temporary object caching in SQL Server – what it is, why it exists, and how to use it to your advantage.
This article shows a few techniques with SQLCLR to to transform a query result into HTML.
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On my SQL Server 2025, I want to search the error log from my T-SQL code for potential issues and then inform an administrator. What is the current way to easily query the error log?
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