Microsoft Power BI Desktop provides a wide variety of visuals to its users. Sometimes, one wants to conduct a comparative analysis, a simple way to explore the relationship between the data categories within a set hierarchy. Hence, when a decision revolves around understanding the relationship of each element, this visual can provide an insightful analysis. This article will highlight all the steps to create a treemap chart in Power BI Desktop.
By using input from real memory consumption during query execution, Memory Grant input Persistence in SQL Server 2022 is a potent feature that helps optimize query performance. In order to improve the accuracy of memory grant calculations for subsequent executions of the same or comparable queries, SQL Server gathers and stores this information.
Two new open-source extensions from Timescale make PostgreSQL even better for AI applications, unlocking large-scale, high-performance AI use cases previously only achievable with specialized vector databases like Pinecone.
Kendra Little talks about write ahead logging in SQL Server, one of the basic concepts that developers and DBAs should understand.
In the previous posts in this series (part 1, part 2, part 3), I described how I have optimized a long-running set of routines by processing databases, tables, and even subsets of tables in parallel. This leads to many separate jobs that all kick off at roughly the same time
This article shows how to configure database mirroring from CosmosDB to Microsoft Fabric.
In this article, we look at how to build a slicer visual in Power BI and how to create a custom sort order for the slicer values.
I was in a social media discussion the other day where someone said “Perfection isn’t real, but progress is.” This started me thinking, is there really no perfection? Can you not actually create a piece of software that is perfect? Of course you can. As long as your requirements are perfect, and the code does […]
How easily can we find tables with dropped columns that need cleanup?
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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