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Author: Kevin Feasel

IOPS Slider in Azure SQL Managed Instance Next-Gen

John Morehouse cranks that slider to the right:

If you’ve used Azure SQL Managed Instance General Purpose, you know the drill: to boost memory or I/O, you had to scale the whole instance, paying for extra CPU you might not need—and hoping the upgrade fixed the bottleneck.

It worked but wasn’t elegant and could be slow or awkward. Scaling sometimes took hours when time was of the essence.

The Next-Gen Azure SQL Managed Instance marks a major shift from the old model. It was way overdue.

The downside is that there’s still a per-CPU hard cap on IOPS and it’s low. Granted, it’s only about two orders of magnitude lower than what I’d expect from a decent on-premises solution, but that’s still enough to limit severely my ability to recommend SQL Managed Instance to anybody.

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Microsoft Fabric Eventstream Pricing

Anasheh Boisvert puts on the green eyeshade:

In this blog post, we’ll walk through Eventstream’s pricing model to give you a clear understanding of how it works and help you navigate it with confidence.

By the end of this post, you will be able to:

  • Comprehend how Eventstream pricing is structured across its components.
  • Understand the relationship between Eventstream components and billing meters.
  • Review detailed pricing examples to support precise and confident cost estimation.

Read on for a breakdown of the components and several examples.

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Using REGEXP_LIKE in SQL Server 2025

Jared Westover dives in:

Microsoft added several new features in SQL Server 2025, including an exciting suite of regular expression (regex) functions. After years of anticipation, there’s no longer a need to rely on CLR to use regex capabilities. As an experienced SQL developer, I enjoy finding specific rows, and the function that stands out to me is REGEXP_LIKE. I was drawn to it by its name, mainly because I frequently use the LIKE predicate. Right now, we are deciding whether to use it.

Read on for the results of Jared’s testing.

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Accessing a Variable Library from a Microsoft Fabric Notebook

Laura Graham-Brown continues a series on variable libraries in Microsoft Fabric:

This post walks through how to access a variable library in a notebook in Microsoft Fabric. I recommend a Microsoft Fabric project starts by creating a variable library to store the common values different artifacts need and could be changed if a deployment pipeline gets involved. So when we create a notebook we need to be able to use these variables. This means we need load the variable library in a notebook and then get the variable values.

Read on for two ways to retrieve information on variables, as well as some recommendations around naming.

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Two Ways of Using Source Control

Mark Seemann notes that there are two very different approaches to source control:

Git is such a versatile tool that when discussing it, interlocutors may often talk past each other. One person’s use is so different from the way the next person uses it that every discussion is fraught with risk of misunderstandings. This happens to me a lot, because I use Git in two radically different ways, depending on context.

Should you rebase? Merge? Squash? Cherry-pick?

Often, being more explicit about a context can help address confusion.

I know of at least two ways of using Git that differ so much from each other that I think we may term them two different regimes. The rules I follow in one regime don’t all apply in the other, and vice versa.

Click through for depictions of both methods and how they differ.

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Performance Analysis of Geocoding in Power BI

Chris Webb grabs the map and pushpins:

When a user complains about their Power BI report being slow it’s normal for the developer to open up DAX Studio and start tuning the measures in the semantic model because 95% of the time the problem is the DAX. But there’s a whole class of report performance problems that are nothing to do with the semantic model or DAX and they are the ones that are much easier to troubleshoot now that Performance Analyzer is available in the browser as well as Desktop. Today I want to look at one of them: geocoding in map visuals.

Click through for a demonstration and a few tips to help limit the pain of geocoding large amounts of data.

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Resource Governor tempdb Limits and Query Spills

Kendra Little performs a test:

SQL Server 2025 introduces a new Resource Governor capability to manage tempdb usage, along with making Resource Governor available in Standard Edition.

I wondered: can Resource Governor’s new tempdb feature help contain queries that don’t use temporary tables, but which spill massive amounts of data to tempdb? The docs say yes, but I always like to get hands-on experience when I can.

I’ve got an awful query that spills like a soft-serve machine choosing violence. Let’s test drive the new tempdb governance features in SQL Server 2025.

Read on to see whether this actually works and how it behaves.

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Learning Fabric REST APIs via FUAM

Kristina Mishra digs into the Fabric Unified Admin Monitoring tool:

Recently a colleague of mine was inquiring about creating a service principal to use with a Microsoft Fabric Rest APIs proof of concept project we were wanting him to develop for some governance and automation. Since he was still in the research phase, I told him we already had one he could use and did a brief demo on how we use it with FUAM (Fabric Unified Admin Monitoring tool). It occurred to me that others may find this a useful way to learn how to use Fabric or PBI Rest APIs. If you are also fairly new to using pipelines and notebooks in Fabric, then you can get the added bonus of learning through an already created, well-designed and active live Fabric project in your own enviroment. If you do not have FUAM installed in a Fabric capacity, or do not have permissions to see the items in the FUAM workspace, or have no intention/ability do change either of those blockers, then you can stop reading here. Unless you are just generally curious – then feel free to read-on. Or not. You do what works for you.

I personally recommend reading on. It’s kind of a thing I do here.

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A Primer on Data Analysis with Python and SQL Server

Eduardo Pivaral shows off a few examples of analysis techniques:

With the rise of cloud, automation and managed services, the role of the Database Administrator has pivoted towards Data Engineering.  The focus is to maintain, secure, and cleanse data in order for data analysis and decision making by the business.

How can we start using modern data analysis tools with our current SQL Server infrastructure? Further, how can we start providing end users and decision makers with important insights about our data, without spending extra money on enterprise data analysis tools?

Click through for demonstrations of k-means clustering for discerning categorical groups of data, simple demand forecasting, and generating customer segments.

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Checking if a Microsoft Fabric Data Pipeline is Running

Jon Lunn checks the status of a data pipeline:

How do you check if a pipeline is running, not from the monitor, but from your Data Pipelines?

Maybe you’re like me and you have a  Data Pipeline process that needs to check if some other pipeline else is running. In my case I have to check if a process is running due to Delta tables liking you to have one process writing to them, otherwise you can get concurrency issues as two items are trying to update the same delta table metadata file.

Those tricky metadata items like the process to be exclusive. It’s not just a Delta table issue; this can happen with regular SQL databases tables. So you can use this for anything you want to stop a locking issue or have an exclusive access to an object or just don’t want a process to run while another is doing its thing. 

Read on to see how you can check the current status of a data pipeline from within a different data pipeline.

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