Microsoft 'Always On' technology does not support distributed or cross-database transactions. Why not? Grahaeme Ross shows how to investigate cross-database transactions to understand the problem in more detail, and concludes that a Cross-Database transaction can cause loss of data integrity in the commit phase of the two-phase commit.
The DBA role is changing with the growth of DevOps as a way to better build software in an organization.
Say you have a SQL Server Integration Services (SSIS) package with a Foreach Loop container. Inside that container you have a task that sometimes can fail. Koen Verbeeck provides a tip on how to implement SSIS so that, if it fails, the loop will just continue, skip the current step and go to the next iteration.
Join us on Tuesday 28th April at 4pm BST (11am EDT) for a free webinar panel discussion featuring Brian A. Randell, Grant Fritchey, Steve Jones, and host, Stephanie Herr, on the topic of maintaining visibility and control in database continuous delivery.
A company Steve Jones knows uses a diverse network infrastructure to help provide security.
Access-control within the database is important for the security of data, but it should be simple to implement. It is easy to become overwhelmed by the jargon of principals, securables, owners, schemas, roles, users and permissions, but beneath the apparent complexity, there is a schema-based system that, in combination with database roles and ownership-chaining, provides a relatively simple working solution.
In this tutorial we will explain what are the SSAS cubes to use them in Data Mining.
There are several different approaches to automating deployment of SQL Server Infrastructure-as-a-Service virtual machines in Microsoft Azure. Marcin Policht examines an approach that involves uploading or creating a custom operating system image which is well suited for scenarios where you want to deploy a custom-configured SQL Server instance to multiple virtual machines with minimal effort and maximum consistency.
Tony Davis on why the dusty corners of many organizations still hide numerous SQL 2005 instances.
One of the most certain ways of going wrong with any relational database is to get data conversion wrong. Implicit data conversion is a good feature for the expert but can cause a lot of trouble to the unwary. These boil down to seven ways of failing to get data conversion right. Rob Sheldon explains and gives sage advice on how to avoid the problems.
By Steve Jones
“Don’t aim to have others like you; aim to have them respect you.” –...
Many years ago, before I joined Oracle, I was working on a major modernisation...
If you work with data pipelines, SQL, notebooks, or machine learning models, a Mac...
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When running DBCC CHECKDB on SQL Server 2025, can I include the Resource Database?
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