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Unstuck

Have you ever been stuck in some area of your life? Maybe at work? That big project. Progressing in your career. The slow query that seems impossible to make faster. Learning new skills to switch careers. Maybe outside of work? The weekend home project that’s been going on for more than a few weekends… possibly […]

External Article

Bad Data and Dirty Databases

Many years ago, my wife and I wrote an article for Datamation, a major trade publication at the time, under the title, “Don’t Warehouse Dirty Data!” It’s been referenced quite a few times over the decades but is nowhere to be found using Google these days. The point is, if you have written a report using data, you have no doubt felt the pain of dirty data and it is nothing new.

Stairway to Advanced T-SQL

Stairway to Advanced T-SQL Level 9: Compare, Modify, Derive and Validate Date and Time Values

When you build applications that store data in SQL Server you will most likely have to store dates and times, and you’ll call functions to do date manipulations. It is important to understand the different date and time data types, and when to use one data type over another. In this level I will be exploring the different date and time data types and discussing when each type is appropriate.

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Question of the Day

Fun with JSON I

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