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Curated SQL Posts

The New Item Creation Experience in Microsoft Fabric

Dan Liu has an announcement:

Have you ever found yourself frustrated by inconsistent item creation? Maybe you’ve struggled to select the right workspace or folder when creating a new item or ended up with a cluttered workspace due to accidental item creation.

We hear you—and we’re excited to introduce the new item creation experience in Fabric! This update is designed to address those pain points head-on. With the new unified creation flow, you’ll have a streamlined way to select the exact workspace and folder where your items belong. More importantly, this improvement brings consistency and cohesion to item creation across all Fabric items, so you can stay organized and productive.

Click through to see what it looks like.

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EchoLeak: Zero-Click Copilot Vulnerability

Alex Woodie reports on a vulnerability:

The Microsoft Copilot vulnerability, dubbed EchoLeak, was listed as CVE-2025-32711 in the NIST’s National Vulnerability Database, which gave the flaw a severity score of 9.3. According to Aim Labs, which discovered EchoLeak and shared its research with the world last week, the “zero-click” flaw could “allow attackers to automatically exfiltrate sensitive and proprietary information from M365 Copilot context, without the user’s awareness, or relying on any specific victim behavior.” Microsoft patched the flaw the following day.

The blog post linked above is pretty interesting. Microsoft has patched the vulnerability, so this particular attack vector shouldn’t be an issue. But it will certainly open up the doors for more fun ways of exploiting generative AI-based services.

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Restoring a Database via dbatools

David Seis digs into the Restore-DbaDatabase cmdlet:

In this blog post, we will audit the dbatools command Restore-DbaDatabase. I will test, review, and evaluate the script based on a series of identical steps. Our goal is to provide insights, warnings, and recommendations to help you use this script effectively and safely. Restore-DbaDatabase is powerful tool to automate the restore of any database, and it works well in automated solutions such as daily refreshes or weekly refreshes of production to a lower environment.

David’s blog post takes a look at the cmdlet’s functionality, but also thinking about it from a security perspective.

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Maintaining Statistics Information Post-Update in PostgreSQL 18

Laurenz Albe takes a peek at an upcoming feature:

Everybody wants good performance. When it comes to the execution of SQL statements, accurate optimizer statistics are key. With the upcoming v18 release, PostgreSQL will preserve the optimizer statistics during an upgrade with dump/restore or pg_upgrade (see commit 1fd1bd8710 and following). With the beta testing season for PostgreSQL v18 opened, it is time to get acquainted with the new feature.

It’s kind of wild to me that this wasn’t in place years ago for PostgreSQL.

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Multithreading and Multiprocessing in Python

Jessica Wachtel explains how two systems work in Python:

Let’s use a simple example to understand them: a mechanics shop. Concurrency happens when one mechanic works on several cars by switching between them. For example, the mechanic changes the oil in one car while waiting for a part for another. They don’t finish one car before starting the next, but they can’t do two tasks at exactly the same time. The tasks overlap in time but don’t happen simultaneously.

Click through for the analogy, how it applies to Python, and tips and tricks around each.

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First Thoughts on Rancher Desktop

Steve Jones tries something new:

I’ve been very happy with Docker Desktop for years, running it on both laptop and desktop. However, a corporate decision was made to move to Rancher Desktop, so I now have an unexpected “opportunity” to learn something new.

Here’s a short post on how things went on the desktop and laptop.

I’m guessing corporate made the switch because of Docker for Desktop’s licensing costs. It is kind of funny how, in the Windows and even MacOS world, “Docker” is synonymous with “container,” whereas in the Linux world, that’s not at all the case.

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IF Statements and DAX

Marco Russo and Alberto Ferrari talk in hypotheticals:

DAX is a functional language. This means that – no matter how complicated it is – a measure is just ONE function call. Then, functions call other functions, creating the intricacies of a sophisticated DAX expression. However, there is always just one function at the top level. This is, at the same time, beautiful and painful, elegant and complex to understand. It is fair to say that being functional is what makes DAX so fascinating.

However, when a DAX formula is executed, it loses its functional nature. Indeed, in the end it needs to be transformed into a set of simpler queries executed by one of the engines of DAX: either the storage engine or the formula engine. During this step, the function execution is transformed, and it becomes much simpler.

Click through to see how the IF() function works in such a world.

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