Automate Responses to Bad Deployments with SQL Monitor
Jamie Wallis explains how SQL Monitor can both reveal quickly who ran a deployment, and when, and automate the incident-response workflow to ensure it's dealt with swiftly. By extending such workflows to development and test servers, as well as production, the feedback cycle starts earlier, and you can stop problems from ever reaching the users.
Install SQL Server Integration Services in Visual Studio 2019
Learn the step by step process to install SQL Server 2019 Integration Services in Visual Studio as well as the history for the tool.
An Introduction: Level 1 of the Stairway to Row-Level Security
Learn the basics of how Row-Level Security works in SQL Server.
Heaps in SQL Server: Part 2 Optimizing Reads
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.
Using SQL Data Compare to Sync Reference Data
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.
Using SQL Server Query Store & Plan Guides to Fix Problem Queries
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.
Beating the Cloud Vendors
Can you run a system better than cloud vendors? You should know and be able to prove it.
Blogs
T-SQL Tuesday #198 Invitation: How Do You Detect Data Changes?
It's time for T-SQL Tuesday #198! This month's topic is change detection. The post T-SQL...
Understanding Fabric MCP
By James Serra
Model Context Protocol, or MCP, is one of those technical ideas that sounds more...
AWS RDS Aurora - our first approach
When starting with AWS RDS Aurora for managing relational databases in the cloud, many...
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Question of the Day
Creating a JSON Document III
I have this data in a table called dbo.NFLTeams
TeamID TeamName City YearEstablished ------ -------- ---- --------------- 1 Cowboys Dallas 1960 2 Eagles Philadelphia 1933 3 Packers Green Bay 1919 4 Chiefs Kansas City 1960 5 49ers San Francisco 1946 6 Broncos Denver 1960 7 Seahawks Seattle 1976 8 Patriots New England 1960If I run this code, how many rows are returned?
SELECT TOP 2
json_objectagg('Team' : TeamName)
FROM dbo.NFLTeams;
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