Azure DWH part 12: Permissions, roles, logins and users
In this article we will show some common roles and queries related to Azure SQL Data Warehouse.
In this article we will show some common roles and queries related to Azure SQL Data Warehouse.
Complex data environments sometimes need new techniques to properly manage the information. See how Windocks can help with containers and SQL Server.
Technical debt is a real problem in database development, where corners have been cut in the rush to keep to dates. The result may work but the problems are in the details: such things as inconsistent naming of objects, or of defining columns; sloppy use of data types, archaic syntax or obsolete system functions. With databases, technical debt is even harder to pay back. Robert Sheldon explains how and why you can get it right first time instead.
A gripping expose into the deep, dark world of ANSI_PADDING! What could be more exciting?
The future of the DBA might include lots of asset tracking and financial meetings.
Erin Stellato takes a thorough look at the way DML statements might benefit from In-Memory OLTP, especially with natively compiled stored procedures.
User-Defined Functions (UDFs) are an essential part of the database developers' armoury. They are extraordinarily versatile, but just because you can even use scalar UDFs in WHERE clauses, computed columns and check constraints doesn't mean that you should. Multi-statement UDFs come at a cost and it is good to understand all the restrictions and potential drawbacks. Phil Factor gives an overview of User-defined functions: their virtues, vices and their syntax.
In this article, I’m going to show a procedure to resolve an issue that I found while running cluster validation report. you may receive below warning message that includes information about the cause of the warning, which can help you to resolve the issue.
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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