2020-04-13
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2020-04-13
396 reads
2024-06-24 (first published: 2020-04-06)
523 reads
2020-03-03
529 reads
In this article you will learn how to use BCP for SQL Server on Linux to export and import data using the BCP command line utility.
2020-01-30
10,900 reads
In this level of the Stairway to SQL Server on Linux, we learn how to set up and use SQL Agent.
2019-08-06
1,589 reads
Phil Factor starts a series of articles that will demonstrate the use of temporary SQL Server instances, running in Linux containers, into which we can deploy the latest database build, stocked with data, for development and testing work. This initial article shows how to set up a SQL Server instance inside a Linux Docker container, create some sample databases, and persist data locally.
2019-07-19
In this article, Kellyn Pot’Vin-Gorman continues teaching SQL Server DBAs how to navigate Linux. She demonstrates usings aliases, setting up environment variables, and examining processes.
2019-07-01
This article will show you how to use crontab to schedule tasks that you want to run on a SQL Server on Linux instance when no Agent is configured.
2019-06-18
3,579 reads
How to build out Azure resources during deployments, using a few handy Azure commands for BASH.
2019-05-31
Problem Recently, when I tried to install SQL Server 2017 (mssql-server package) in Ubuntu 18.04, I encountered the error below: The command that I used to install the mssql-server...
The...
2019-05-20
By Steve Jones
on tenderhooks – adj. feeling the primal satisfaction of being needed by someone, which...
By DataOnWheels
I have been active in the data community throughout my career. I have met...
By Vinay Thakur
Quick Summary for Microsoft SQL Server till 2025, I am fortunate to be part...
hi, in an ssis for each loop over an object variable called MyListVariable, i...
SQL Server is typically viewed as a transactional or analytical database engine. However, it...
Hello, Is there a way in Azure SQL Database to change the 'Blocking Process...
On SQL Server 2025, when I run this, what is returned?
SELECT EDIT_DISTANCE_SIMILARITY('SQL Server', 'MySQL') See possible answers