I need to construct JSON from data in our database, but I find the existing FOR JSON PATH limited when the data is not located in one single row but rather scattered over multiple rows. Is there another method on how to handle JSON data in SQL Server? Learn how to use the new SQL Server JSON Functions JSON_OBJECTAGG and JSON_ARRAYAGG in this article.
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Unlock new opportunities for data-driven decision-making by grasping the significance of SQL and structured data in current data and analytics ecosystems like Microsoft Fabric.
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The other day, my lovable coworker and frequent Simple Talk writer: Grant Fritchey, sent this post on X:
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In our conversations with job seekers, a consistent theme has been HOW do you use AI tools. This can be used to get new ideas, improve and optimize resumes, understand trends/market data, determine new connections and networking avenues, save time, alleviate headaches and roadblocks, and be more efficient and effective overall. Well, say goodbye to the days where you need to start a cover letter or resume from scratch or feel isolated, alone, and anxious during the resume writing, interview prep, salary negotiation, and other parts of the job search process, as we all now have an incredibly powerful job searching tool and career coach at our disposal to help with any writer’s block and almost every challenge you may run into!
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Learn how you can integrate the SQL Server error logs into Crowdstrike for better analysis.
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One of the cornerstones of AI is a concept called embeddings. Virtually every AI model, whether for text, video, or audio, uses something related to embeddings. Starting with SQL Server 2025, this is a term you’ll be hearing a lot, as its potential for applications is enormous!
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Learn how you can call stored procedures in the Django ORM, which lets you encapsulate more complex queries inside the database.
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The core functionality of Apache Spark has support for structured streaming using either a batch or a continuous method. The two most popular sources of input data are data lake files and Kafka events. Check point files in the data lake are used to keep track of what data has been processed to date.
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This article shows a solution to the challenge of multiple databases on one RDS instance with different databases and the limitation of 5000 connections.
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713 reads
The documentation cautions that cumulative updates (CU) could fail if a specific registry key isn’t updated after moving the master files, so I wanted to test this before I spent too much time configuring the server.
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Comments posted to this topic are about the item Lessons from the Postmark-MCP Backdoor
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I've noticed several instances of what looks like a recursive insert with the format:...
I have a table with this data:
TravelLogID CityID StartDate EndDate 1 1 2025-01-01 2025-01-06 2 2 2025-01-01 2025-01-06 3 3 2025-01-01 2025-01-06 4 4 2025-01-01 2025-01-06 5 5 2025-01-01 2025-01-06I run this code:
SELECT IDENT_CURRENT('TravelLog')
I get the value 5 back. Now I do this:
SET IDENTITY_INSERT dbo.TravelLog ON
INSERT dbo.TravelLog
(
TravelLogID,
CityID,
StartDate,
EndDate
)
VALUES
(25, 5, '2025-09-12', '2025-09-17')
SET IDENTITY_INSERT dbo.TravelLog OFF
I now run this code.
DBCC CHECKIDENT(TravelLog)
GO
INSERT dbo.TravelLog
(
CityID,
StartDate,
EndDate
)
VALUES
(4, '2025-10-14', '2025-10-17')
GO
What is the value for TravelLogID for the row I inserted for CityID 4 and dates starting on 14 Oct 2025?
See possible answers