Liable for Data Loss
Today Steve Jones looks at some data loss lawsuits against Microsoft, but asks the general question of whether software vendors need to be more liable (and careful).
Today Steve Jones looks at some data loss lawsuits against Microsoft, but asks the general question of whether software vendors need to be more liable (and careful).
This week Steve looks at all the information and learning available for Power BI.
Aaron Bertrand kicks off his "Performance Myths" series, showing a "redundant" non-clustered index outperforming the clustered index with the same key.
Learn how you can create an Azure SQL Warehouse database quickly and easily.
Do you know what the cost is for your database going down? Maybe more interesting, is do you want to know?
One of the concepts that has recently been growing rapidly in popularity, in the context of cloud technologies, is DevOps. In this article, Marcin Policht looks at using DevOps principles in regard to Azure SQL Database deployments. To implement some of the more common DevOps practices, he will rely on Visual Studio Team Services.
The future will see more of our data used in machine learning and other AI-like systems. Is that something we want?
One of the most confusing data types in SQL Server is the datetime datatype.
Aaron Bertrand begins a new series around disproving prevalent myths regarding SQL Server performance.
Today Steve Jones discusses the idea of data value, and what it might mean to you, personally.
By HeyMo0sh
Microsoft Fabric (not to be confused with the more general term “fabric” in DevOps)...
By James Serra
I’m honored to be hosting T-SQL Tuesday — edition #192. For those who may...
By Vinay Thakur
Continuing from Day 2 , we learned introduction on Generative AI and Agentic AI,...
hi everyone I am not sure how to write the query that will produce...
Comments posted to this topic are about the item Rollback vs. Roll Forward
Comments posted to this topic are about the item Foreign Keys - Foes or...
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