Microsoft introduced Azure SQL Data Warehouse, a new enterprise-class, elastic petabyte-scale, data warehouse service that can scale according to organizational demands in just few minutes. In this article, Arshad Ali discusses the different types of tables you can create in SQL Data Warehouse, how they impact performance and the best practices around them.
Steve Jones looks at SQL Server on Linux and how this may differ from what most of us have worked with in the past.
A series of arguments with developers who insist that fuzzy searches or spell-checking be done within the application rather then a relational database inspired Phil Factor to show how it is done. When the database must find relevant material from search terms entered by users, the database must learn to expect, and deal with, both expected and unexpected.
The path to becoming a data scientist isn't simple or easy, but it might be for you.
Microsoft announced the availability of SQL Server Analysis Services (SSAS) on Azure late last year. Siddharth Mehta walks through how to quickly set up a tabular data model in SSAS Azure.
This article demonstrates using React and the CData API Server to build dynamic Web pages using SQL Server data.
Have you ever given up on your brainchild? If yes, how did you deal with it?
Grant Fritchey on the lessons all DBAs can learn from the recent Public Relations disaster for United Airlines.
The Redgate Foundry team have been researching data masking, and have found that generally speaking there's six common approaches. In this blog post, Toby Smyth runs through all six.
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