If some of your database constraints have system-generated names, they can cause 'false positives' when comparing schemas and generating build scripts using SQL Compare or SQL Change Automation. Phil Factor explains the difficulties, and the Compare option you need to enable to avoid them.
Throughout this series, Roberts Sheldon has discussed a range of storage-related topics, some of which he mentions only briefly. One of those is cloud storage, which now plays a vital role in today’s data management strategies. Organizations of all types and sizes now employ cloud storage to varying degrees, either to supplement their on-premises systems or to handle the bulk of their data. Because cloud storage has become so pervasive, this article focuses exclusively on that topic, describing what it is, how it works, and its benefits and challenges.
The purpose of this document is to help design Unix shell scripts (or any programming scripts) with restart capability from point of failure and also to avoid a common mistake done by developers/admins while filtering records.
An example of a database migration from SQL Server 2016 on Windows to MS SQL Server 2017 on Linux.
In the second level of our Stairway to SQLCLR, we look at how to enable the SQLCLR in SQL Server. We then build an assembly, store procedure, and a function that can be called from your T-SQL code.
David Atkinson describes how developers who were previously writing and managing SQL source code in SSMS can make a smooth transition to Azure Data Studio.
Intel is building hybrid processors, combining the power of the regular CPUs most of us use with Atom power saving technology.
Joe Celko tackles the most difficult of all the types of data handled by SQL, temporal data, and explains how to avoid the commonest traps for the unwary programmer
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Comments posted to this topic are about the item Backup to Immutable Storage
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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