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Day: November 5, 2025

Azure Tenants and Microsoft Fabric

Published 2025-11-05 by Kevin Feasel

Andy Cutler begins a new series on Microsoft Fabric architecture:

Our Fabric Architecture journey starts with Azure Tenants (the kick-off blog in this series is here with a few jumping-off links to get started with thinking about Fabric Architecture). If you’re ready to spent time sketching out your Fabric Capacity planning, workspace strategy, domain topology, lakehouse/warehouse creation, data loading processes…you might want to stop for a minute and think about tenants. The question I’d like you to consider is “What do I need to know when working with a single or a multi-tenancy approach?” Let’s unpack this question because while it might sound like a simple list, it actually shapes your governance, scalability, and Fabric operational model. If you’re a seasoned Azure Architect veteran then you already know how to decide between single and multi-tenant cloud rollouts (also, please comment if you have anything to add please), if you work with Fabric/Data and don’t really dive into Azure architecture on a daily basis then please stick around. Hopefully this blog gets you thinking about single/multi-tenant architectures and the benefits/costs.

Read on for a dive into what tenants are, the benefits of single- versus multi-tenancy, and how it all ties into Fabric.

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Function Volatility and PostgreSQL Partition Performance

Published 2025-11-05 by Kevin Feasel

Deepak Mahto covers how function volatility can affect how queries on partitioned data perform:

In one of our earlier blogs, we explored how improper volatility settings in PL/pgSQL functions — namely using IMMUTABLE, STABLE, or VOLATILE — can lead to unexpected behavior and performance issues during migrations.

Today, let’s revisit that topic from a slightly different lens. This time, we’re not talking about your user-defined functions, but the ones PostgreSQL itself provides — and how their volatility can quietly shape your query performance, especially when you’re using partitioned tables.

Click through for one example using date-based partitioning and date functions.

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Working with JSON Indexes in SQL Server 2025

Published 2025-11-05 by Kevin Feasel

Koen Verbeeck tries out a new index type:

We’re trying the new JSON data type in SQL Server for data stored as JSON in a table. When we query it using functions such as JSON_VALUE, we see a full table scan is performed for each query. Is there a way we can index the JSON to improve performance?

The JSON index has a somewhat different definition of its structure and there are some limitations to how it works, but for specific JSON-related queries, you can see the improvement.

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Calling Logic Apps via Data Factory Pipelines

Published 2025-11-05 by Kevin Feasel

Andy Brownsword flips the script:

Last week we looked at calling a Data Factory Pipeline from a Logic App. This week I thought we’d balance it out by taking a look at calling a Logic App from an Azure Data Factory (ADF) Pipeline.

When building the Logic App last week we had to create our own polling mechanism to check for completion of the pipeline. The process is much simpler in the opposite direction. I specifically want to highlight two approaches, and save some pennies whilst we’re at it.

I am all about saving pennies, so be sure to check out that section as well.

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