Control OneLake with Storage Explorer – Data Engineering with Fabric
In this new article, we examine how to work with OneLake storage.
2024-06-26
1,694 reads
In this new article, we examine how to work with OneLake storage.
2024-06-26
1,694 reads
Learn about how you can monitor your Azure Storage account and set alerts to let you know when to take action.
2022-07-08
2,777 reads
2022-06-27
337 reads
Learn about enabling soft-delete for your Azure Storage containers.
2022-01-21
1,875 reads
Managed Disks have simplified way that Azure storage interacts with the users' virtual machines, thanks to the way that it eliminates the need to deal with the Storage Account. It is now easier to add new disks to a virtual machine, either in PowerShell or via the portal. The Storage Spaces feature in Windows Server can be used to aggregate disks together and obtain higher levels of performance. Joshua Feierman explains how to do it all.
2017-05-05
4,376 reads
If you need to run SQL Server in an Azure Virtual Machine, your choice of Azure storage will have a great effect on its performance. If performance is important, you are likely to discover complications and barriers in the storage options when you come to provision the server. If you get it wrong, you could end up with an expensive service. Joshua explains the value of using a lab environment to allow you to make well-informed VM storage decisions when the time comes to provision your production system.
2017-03-09
2,748 reads
By Brian Kelley
I will be leading an in-person Certified Information Systems Auditor (CISA) exam prep class...
EightKB is back again for 2026! The biggest online SQL Server internals conference is...
By HeyMo0sh
Working in DevOps long enough teaches you two universal truths: That’s exactly why I...
Hi all, I just started using VS Code to work with DB projects. I...
Comments posted to this topic are about the item Fun with JSON II
Comments posted to this topic are about the item Changing Data Types
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