SharePoint Disaster Recovery Plan
Hot standby disaster recovery process where SharePoint farm will become available in minutes
Hot standby disaster recovery process where SharePoint farm will become available in minutes
In the final article in this series, Robert Sheldon demonstrates combining data sources with multiple formats into one Python data frame.
Did you know you can query SQL Server data with U-SQL? It's true! Find out how in this latest stairway step.
By default, when you run a query in SQL Server, your delete/update/insert (DUI) is finished as soon as your query finishes. That’s because the default behavior of SQL Server is IMPLICIT_TRANSACTIONS OFF – meaning, SQL Server doesn’t hold your queries open waiting for a COMMIT or ROLLBACK.
It is important to showcase how Artificial Intelligence is being used in various fields and industries with some facts
Changing a data type seems like a simple task unless the table is quite large and downtime must be kept to a minimum. Danny Kruge walks you through the process he created to change an INT to a BIGINT in a large table.
Learn the basic terms and definitions for intervals in SQL Server.
Building a name-and-address database sounds a disarmingly simple task, but if your name happens to be D'Arcy Join, then you probably know, from painful experience, that most programmers don't get it right.
By Brian Kelley
I will be leading an in-person Certified Information Systems Auditor (CISA) exam prep class...
EightKB is back again for 2026! The biggest online SQL Server internals conference is...
By HeyMo0sh
Working in DevOps long enough teaches you two universal truths: That’s exactly why I...
Comments posted to this topic are about the item Fun with JSON II
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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 t1.[key] AS row,
t2.*
FROM OPENJSON(
(
SELECT t.* FROM #test_data AS t FOR JSON PATH
)
) t1
CROSS APPLY OPENJSON(t1.value) t2; See possible answers