Perform Data Filtering in Oracle Link to SQL Server
Learn how to perform data filtering in Oracle Linux using a database link to SQL Server
Learn how to perform data filtering in Oracle Linux using a database link to SQL Server
Grant Fritchey explains the core rules and features of Data Masker, and how you go about using them to mask columns, so that when the data is used outside the production system it could not identify an individual or reveal sensitive information.
Microsoft introduced several features called Intelligent Query Processing for SQL Server in 2017 and 2019 that can improve performance without making changes to code. In this article, Greg Larsen demonstrates the feature Batch Mode on Rowstore.
Why good use of QUOTENAME can easily prevent injection and unexpected behaviour in Dynamic SQL.
The State of SQL Server Monitoring was launched in 2018. This year we are interested in gathering insight across database platforms, not just SQL Server. Have your say and take the survey to be first to receive the report and enter your chance to win a $500 Amazon voucher.
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Do you remember the very first time you had to do a database restore to fix something you messed up?
The purpose of this article is to detail steps that would help implement an enhancement to reporting application that uses SQL Server Database (or any other database) in backend without causing downtime to reporting application.
Sometimes it is hard to admit that you are not the best person for the job that is presented to you.
By Steve Jones
dolorblindness – n. the frustration that you’ll never be able to understand another person’s...
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I had a customer ask about analyzing their Test Data Manager (TDM) usage to...
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I had an idea for an animated view of a sales tool, and started...
Comments posted to this topic are about the item Optimism Without Illusion or Why...
Hi all, I'm trying to do classic scenario for loading multiple Excel files into...
Hi So the case statement is slowing this down - but for the life...
In SQL Server 2025, what is returned by this code:
SELECT EDIT_DISTANCE('tim', 'tom')
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