Common Data Transformations in Power Query
In this article we walk through an example of using Power Query to transform source data that can be used in a Power BI report.
In this article we walk through an example of using Power Query to transform source data that can be used in a Power BI report.
Introduction This article will help you install the Docker Desktop for Mac. Before we show that, let us start by understanding what the Docker Desktop software can do for you. To understand Docker, we need to understand what a container is. If you remember a few years ago, the only way of deploying application code […]
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Introduction This article shows how common table expressions (CTE) in SQL Server are naturally suited for navigating trees, such as finding its longest path, or diameter. Recall that a tree is an undirected graph where unique paths exist between any two nodes (i.e. vertices). Any node may be selected as its top node, with its […]
In this article we look at using Window Functions in SQL Server, Oracle and PostgreSQL to see the differences and similarities of the syntax.
The 2021 State of Database Monitoring survey is now open, and we want to know how you’re currently tackling your server, instance, and database monitoring. By taking part, you’ll contribute to the sole industry-wide report on database monitoring, and provide insights into how SQL Server professionals manage their estates and what challenges they face. Plus, you’ll receive an advanced copy of the report and entry to a prize draw to win a $500 Amazon voucher.
A while back I wrote an editorial about how I believed the data community would easily continue after the PASS organization was no more. I'm pleased as punch to be able to report that I was right. Not because I enjoy being right (I do, who doesn't), but because I care very much for the […]
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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