Additional Articles


External Article

Scientific Calculations in Power BI - Cube, Square, Logarithms, Powers, Inverse and more

Microsoft Power BI Desktop provides users with multiple ways to help shape and transform their data. One of the options users have is scientific calculations, which support operations like cube, square, logarithms, etc. Power BI has this option in the Power Query Editor mode, where the user can easily apply one of these transformations for any number-based columns. In this tip, we will overview this utility in Power BI and how to benefit from it.

2024-02-14

External Article

Planning a Database Testing Strategy for Flyway

With Flyway, you can adopt a test-driven development strategy that will allow you to test and evaluate databases, and database objects, at every phase of the database development lifecycle. The further down the delivery pipeline that bugs appear, the more costly in time and resources they are to fix. This approach will allow you to catch many of them before the database change even gets committed to version control, making a continuous delivery process much easier to adopt and sustain.

2024-02-12

External Article

Fun with Powershell

Have you ever been in a situation that you want to call a cmdlet or a function with a parameter that depends on a conditional criteria that is available as a list? In this article I will show a technique where you can use PowerShell Dynamic Parameters to assist the user with parameter values.

2024-02-09

External Article

SQL WAITFOR Command to Delay SQL Code Execution

One of the most rarely used commands in SQL is the WAITFOR command. It is one option to invoke a delay in program execution in absentia. Because it is sparsely used, how and where it can be applied when needed is often forgotten. For example, we could use this to mimic a user response or input or perhaps to collect data at certain intervals during the day.

2024-01-26

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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;

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