You have a Power BI project that generates real-time reports for an inventory management system that uses SQL Server. You are aware that Power BI performance is heavily influenced by how your data is structured in SQL Server but don’t have a clear understanding of how to optimize your SQL data structure for Power BI. In this article, we look at different ways to structure the data and tables to help improve Power BI query performance.
2025-10-13
Spotting synchronization disconnects between a primary and a secondary data center in a distributed availability group configuration can be hard, so here are valuable tools to help you with it
2025-10-10
1,279 reads
Running Postgres in Docker is great for a quick test but what if you want it to behave like a proper, production-style setup with SSL encryption, certificate-based authentication, persistent volumes, and custom configurations? In this article, we’ll find out how
2025-10-10
Searching for a string in database tables has been discussed over the years. There are several approaches to the problem (see References at the end of the article). See how to use SQL to find a string in different types of SQL Server objects and data.
2025-10-08
This article shows how you can find which objects in your database might not be valid after schema changes.
2025-10-06
9,363 reads
SQL Server 2025 introduces a new sys.dm_os_memory_health_history view to make it easier for meatbags like you and robots like Copilot to know if the SQL Server has been under memory pressure recently.
2025-10-06
Here are a few things every Oracle DBA should know about performance in their databases.
2025-10-03
1,650 reads
Data is usually the most important asset in organizations, but only SQL developers can frequently access that data. Technical teams often write queries for non-technical users. This restricts agility, slows decision-making, and creates a bottleneck in data accessibility. One possible remedy is natural language processing (NLP), which enables users to ask questions in simple English and receive answers without knowing any code. Still, the majority of NLP-to-SQL solutions are cloud-based, which raises issues with cost and privacy.
2025-10-03
Learn how a setting an improve high concurrency inserts with the OPTIMIZE_FOR_SEQUENTIAL_KEY option.
2025-10-01
6,071 reads
The JOIN statement is one of the most common operations SQL developers perform. Yet in a world ruled by Inner and Left Joins, the poor Full Outer Join is like Cinderella before the ball – allowed out on only the rarest of occasions. In an (unscientific) survey I once performed of SQL developers at one Fortune 100 firm, half of the developers had never used a Full Outer Join in production code, and the rest had used it in a tiny handful of occasions.
2025-10-01
By Vinay Thakur
Continuing from Day 3 where we covered LLM models open/closed and their parameters, Today...
By Steve Jones
One of the nice things about Flyway Desktop is that it helps you manage...
By HeyMo0sh
Microsoft Fabric (not to be confused with the more general term “fabric” in DevOps)...
I'm fairly certain I know the answer to this from digging into it yesterday,...
Hi Team, I am trying to refresh the Azure Synapse Dedicated pool from production...
hi everyone I am not sure how to write the query that will produce...
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