There are multiple ways to interact with the Docker daemon, as command line client API or GUI based tools like Kitematic. Docker also provides a SDK for Go and Python, this SDK can be used to create and manage Docker containers the same way it works with the Docker engine API.
2019-09-16 (first published: 2019-09-10)
1,881 reads
With origins from the world of “Submarine ‘Dolphin’ Qualification” questions, an “Oolie” is a difficult question to answer, or the knowledge or fact needed to answer such a question, that may or may not pertain to one's duties but tests one's knowledge of a system or process to the limit. Introduction Contrary to what many […]
2019-08-08
6,319 reads
The the basics of SQL and T-SQL in this short course of videos that explain some of the concepts.
2019-07-16
27,250 reads
Availability databases hosted on SQL Server Always On Availability Groups (AG) can be connected using a unique Virtual Network Name (VNN), called the Availability Group Listener. When an Availability Group is enabled, clients can connect to databases in both primary and secondary replicas without explicitly specifying the SQL Server instance name. You don’t even need […]
2019-07-02
137,931 reads
There are multiple ways to interact with the Docke...
2019-06-13
4,372 reads
In this article you will learn how to create and use alias commands for Docker, to make Docker's command line experience easier and more productive.
2019-05-20
20,714 reads
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...
I have a quick question on Ola Hallengren Index Optimize Maintenance . Do we...
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...
On SQL Server 2025, when I run this, what is returned?
SELECT EDIT_DISTANCE_SIMILARITY('SQL Server', 'MySQL') See possible answers