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Category: Microsoft Fabric

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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Generating an Entity Diagram in a Fabric Eventhouse

Published 2025-11-04 by Kevin Feasel

Guy Reginiano announces a new tool:

As your KQL database grows, tables gather data from several Eventstreams, functions connect different tables, update policies move and transform data, and materialized views quietly keep aggregated data up to date – all working together behind the scenes 

It’s powerful, but it can also be hard to see the full picture. 

That’s exactly why we built the Entity Diagram – to give you a simple, visual way to explore how everything in your database connects.

Click through to see how it works.

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Microsoft Fabric October 2025 Feature Summary

Published 2025-10-30 by Kevin Feasel

Adam Saxton has a list:

This month’s update delivers key advancements across Microsoft Fabric, including enhanced security with Outbound Access Protection and Workspace-Level Private Link, smarter data engineering features like Adaptive Target File Size, and new integrations such as Data Agent in Lakehouse. Together, these improvements streamline workflows and strengthen data governance for users.

The list doesn’t feel quite as long as the prior couple of months, but there’s still a lot of content on here.

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OneLake Security and the Fabric SQL Analytics Endpoint

Published 2025-10-24 by Kevin Feasel

Freddy Santos takes us through the latest with respect to security in OneLake:

OneLake Security centralizes fine-grained data access for Microsoft Fabric data items and enforces it consistently across engines.
Currently in Preview and opt-in per item, it lets you define roles over tables or folders and optionally add Row-Level Security (RLS) and Column-Level Security (CLS) policies. These definitions govern what users can see across Fabric experiences.

Read on to see what you can do.

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Microsoft Fabric Direct Lake Join Index Creation

Published 2025-10-24 by Kevin Feasel

Phil Seamark explains a recent change:

If you’ve been working with Direct Lake in Microsoft Fabric, you’ll know its magic resides in its ability to quickly load data. It loads data into semantic models from OneLake when needed. This feature eliminates the overhead of importing. But until recently, the first query on a cold cache might feel sluggish. Why? One reason for this is that Direct Lake must build a join index. This index is added to the model during the first query. This index is a critical structure that maps relationships between tables for efficient lookups.

Earlier, this process was single-threaded and slow, especially on large tables with high cardinality. The good news? That’s changed.

Read on to see how, what a join index is, and what this impact looks like in practice.

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Learning Microsoft Fabric Real-Time Intelligence

Published 2025-10-24 by Kevin Feasel

Valerie Junk picks up a new skill:

If you are reading this article on my website, chances are you know me from my Power BI content, the videos, articles, tutorials, or downloads, or you came across it on LinkedIn. I want to be upfront: I am a front-end/business person. I create reports that lead to action and help businesses make smarter decisions while building a data-driven strategy.

When I started talking about Fabric Real-Time Intelligence, people were surprised. Some were curious. Others probably wondered what had happened. For me, real-time reports push you to approach design in a completely different way because users need to take action immediately. Decisions happen in the moment, and that changes everything about how you visualize and structure information, so that got me interested!

Read on to see how Valerie picked up KQL as a language, as well as some of the challenges involved. I will say, the Eventhouse is also the fastest mechanism Microsoft has to query large amounts of data in Microsoft Fabric—it beats out the lakehouse and warehouse pretty handily.

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