The DBScan algorithm tutorial
Learn to use the dbscan algorithm in Python.
2025年11月17日
2 reads
Learn to use the dbscan algorithm in Python.
2025年11月17日
2 reads
In this quarter’s update of our SQL ConstantCare® population report, showing how quickly (or slowly) folks adopt new versions of SQL Server, the data is very similar to last quarter
2025年11月17日
Like many of you, I have often put strings together (concatenation) with a simple arithmetical operator: +. We have a few other ways to put strings together, but in SQL Server 2025, we have a new operator that allows us to put strings together. This is the double pipe (||) operator. This article looks at […]
2025年11月14日
2,390 reads
This is the true story of a 64-core SQL Server brought down by poor assumptions about its data. A clustered index designed for neat, sequential IoT inserts was overwhelmed when the real readings arrived late, out of order, and in bulk. The same risk lurks in any high-write system with unpredictable insert patterns. This article shows what can go wrong and how to avoid it.
2025年11月14日
Learn how you can create a logging module in Python that can be used to insert real-time records in a PostgreSQL database and display them on a dashboard.
2025年11月12日
1,269 reads
I have data coming into my SQL Server database as JSON. Before I start parsing it which is quite intensive, I need to check if some values are present in the JSON. Is there a function I can use to do this? Let’s see what the new JSON_CONTAINS function in SQL Server 2025 can do.
2025年11月12日
Learn about a MySQL feature that could be useful in some scenarios for SQL Server.
2025年11月10日
4,018 reads
Discover how the FULL OUTER JOIN in SQL can simplify queries, improve performance, and solve real-world data problems
2025年11月10日
This article takes a look at the changes in SQL Server 2025 to the SUBSTRING function.
2025年11月07日
8,790 reads
Microsoft introduced the APPLY operator in SQL Server 2005. Similar to a JOIN, it allows correlation between two table expressions. The key difference between the JOIN and APPLY operators is when you have a table-valued expression on the right side and want to evaluate it for each row from the left table expression. Since they produce similar results, when do you choose an APPLY versus a JOIN?
2025年11月07日
By Ed Elliott
SQL Server Management Studio (SSMS) has recently added support for Github Copilot. This is...
By Steve Jones
If it fails where you thought it would fail that is not a failure....
Quite a long title for a short blog post ??While deploying a DACPAC (from...
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What is returned when this code is run?
SELECT ORIGINAL_DB_NAME()See possible answers