Practicing (Annoying) Better Security
Steve has had to change his security, which is good, but annoying.
Steve has had to change his security, which is good, but annoying.
In this second level of the Stairway to Database DevOps, we learn to use Redgate's SQL Source Control to save and updates changes to objects, as well as tracking data in certain tables.
Several data management patterns have emerged for microservices and cloud-native solutions. Learn important patterns to manage data in a distributed environment.
Learn about the evolutionary journey of ETL (Extract, Transform, Load) from traditional processes to modern cloud solutions.
In this first level of the Stairway to DevOps, you will learn how to get version control set up on your local machine and connect to an Azure DevOps repository.
Code reviews are a part of many software development processes, but not used that often with database work. Today Steve has a few thoughts and asks if you have any formal code review process.
In this article, we look at execution plans and performance of a natively compiled stored procedure versus a traditional stored procedure.
Find out how good database design is essential to ensure data accuracy, consistency, and integrity and that databases are efficient, reliable, and easy to use.
The first article in this Stairway Series makes the case for test-driven development.
By Vinay Thakur
Continuing from Day 3 where we covered LLM models open/closed and their parameters, Today...
By Steve Jones
One of the nice things about Flyway Desktop is that it helps you manage...
By HeyMo0sh
Microsoft Fabric (not to be confused with the more general term “fabric” in DevOps)...
I'm fairly certain I know the answer to this from digging into it yesterday,...
Hi Team, I am trying to refresh the Azure Synapse Dedicated pool from production...
hi everyone I am not sure how to write the query that will produce...
I have some data in a table:
CREATE TABLE #test_data
(
id INT PRIMARY KEY,
name VARCHAR(100),
birth_date DATE
);
-- Step 2: Insert rows
INSERT INTO #test_data
VALUES
(1, 'Olivia', '2025-01-05'),
(2, 'Emma', '2025-03-02'),
(3, 'Liam', '2025-11-15'),
(4, 'Noah', '2025-12-22');
If I run this query, how many rows are returned?
SELECT *
FROM OPENJSON(
(
SELECT t.* FROM #test_data AS t FOR JSON PATH
)
) t; See possible answers