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Database Design: A Point in Time Architecture

In most relational database implementations. Update and Delete commands destroy the data that was there prior to their issue. However, some systems require that no information is ever physically deleted from or updated in the database. In this article, Arthur Fuller presents a solution to this requirement in the form of a Point-in-Time architecture: a database design which allows a user to recreate an image of the database as it existed at any previous point in time, without destroying the current image.

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Question of the Day

Fun with JSON II

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