In the second article of this series, Uwe Ricken discusses ways to affect the performance of queries involving heaps, including the TOP operator, compression, and partitioning.
Let's say your QA team maintain two similar test databases. They run tests to verify that different versions of the same application still produce the same, correct results. Therefore, any differences in the test data, between the two databases, needs to be corrected before the tests start. This is the sort of task for which SQL Data Compare is ideally suited, and Bob Sheldon explains how it all works.
This webinar will cover how to use SQL Server plan guides and the query store to fix problematic queries and ways to improve query performance.
Can you run a system better than cloud vendors? You should know and be able to prove it.
Learn how to create a Synapse resource and upload data using the COPY command.
Since SQL Server is supported in containers, you can now run a SQL Server instance in your macOS without dual-booting or running a virtual machine. In this article of the series, Carlos Robles demonstrates how to connect to the SQL Server once it’s running.
Louis Davidson provides a pair of SQL Prompt snippets that will help you deal with dependencies, whenever you need to drop columns or tables.
I always look forward to new T-SQL features and optimizer enhancements with every new version of SQL Server. Starting in 2017, Microsoft came up with a set of features called Intelligent Query Processing (IQP). These features work to improve performance without changing any code. If you’d like to learn more about these features, take a […]
By HeyMo0sh
After working deep in cloud operations, I’ve learned that FinOps isn’t really about dashboards...
By gbargsley
Hello, dear blog reader. Today’s post is coming to you straight from the home...
By Steve Jones
This month I’m thrilled that Steve Hughes is hosting. I’ve read this Data on...
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I want to create a JSON document that contains data from this table:
TeamID TeamName City YearEstablished 1 Cowboys Dallas 1960 2 Eagles Philadelphia 1933If I run this code, what is returned?
SELECT json_objectagg('Team' : TeamName)
FROM dbo.NFLTeams;
See possible answers