Microsoft Fabric Platform Governance - Where To Start
Proposed session for SQLBits 2026TL; DR
Explore the administration of Microsoft Fabric, focusing on capacities, domains, data products, and workspaces. Learn about data mesh concepts, aligning governance standards, and how to effectively shift from PaaS to SaaS for informed decision-making.
Session Details
In this session, we will explore the administration of Microsoft Fabric, with a focus on the organisation and management of data storage/compute through the configuration of capacities, domains, data products, environments and workspaces. We will discuss the application of data mesh and data fabric concepts in the context of Microsoft Fabric capabilities, including organising data products for effective delivery to business users. Also, considering how Microsoft Fabric compares to the practices and technical standards we’ve applied in Microsoft Azure over the years, making that shift from PaaS to SaaS, in theory and maybe in practical.
Additionally, we will explore how to use domains and separate workspaces to serve reports to business users, providing them with the information they need to make informed decisions. Aligning industry governance standards to Microsoft Fabric features and access controls. Join us to learn how to effectively administer Microsoft Fabric beyond the simple Workspaces inherited from Power BI
Additionally, we will explore how to use domains and separate workspaces to serve reports to business users, providing them with the information they need to make informed decisions. Aligning industry governance standards to Microsoft Fabric features and access controls. Join us to learn how to effectively administer Microsoft Fabric beyond the simple Workspaces inherited from Power BI
3 things you'll get out of this session
• Understand the administration and management of Microsoft Fabric, focusing on capacities, domains, data products, and workspaces.
• Learn to apply data mesh and data fabric concepts within Microsoft Fabric, including aligning industry governance standards.
• Explore the transition from PaaS to SaaS and how to use domains and workspaces to deliver reports for informed decision-making.
Speakers
Paul Andrew's other proposed sessions for 2026
An Evolution of Cloud Data Architectures - Lambda, Kappa, Delta, Mesh & Fabric - 2026
An Introduction to Delta Lake and The Lakehouse - 2026
Building Near Real-time Data Solutions in Microsoft Azure & Fabric - 2026
Data & Community: An Amazing Network Of Peers Supporting Innovation & Growth - 2026
Data Modelling: The Lost Art of Turning Inputs into Insights - 2026
Designing & Delivering Data Products: From Mesh Principles to Data Fabric Automation - 2026
Fabric Data Activator: Real-Time Data Feeds, Automated Alerts & Stock Intelligence - 2026
Fast-Track Your Lakehouse Build with a Metadata Framework - 2026
Paul Andrew's previous sessions
An Evolution of Data Architectures - Lambda, Kappa, Delta, Mesh & Fabric
How has advancements in highly scalable cloud technology influenced the design principals we apply when building data platform solutions?
Building an Azure Data Analytics Platform End-to-End
Based on real world experience let’s think about just how far the breadth of our knowledge now needs to reach when starting from nothing and building a complete Microsoft Azure Data Analytics solution.
Creating a Metadata Driven Orchestration Framework Using Azure Data Integration Pipelines
We'll explore delivering this framework within an enterprise and consider an architect’s perspective on a wider platform of ingestion/transformation workloads with multiple batches and execution stages.
ETL in Azure Made Easy with Data Factory Data Flows
What happens when you combine a cloud orchestration service with a Spark cluster?! The answer is a feature rich, graphical, scalable data flow environment to rival any ETL tech we’ve previously had available in Azure.
Using Azure DevOps for Azure Data Factory
DevOps as a concept does not always translate to the technology when implemented. In this session we'll explore that problem when working with Azure Data Factory and what the different cloud only CI/CD options are.
Complex Azure Orchestration w Dynamic Data Factory Pipelines
If you have already mastered the basics of Azure Data Factory (ADF) and are now looking to advance your knowledge of the tool this is the session for you.
Building an End to End IoT Solution Using Pi Sensors & Azure
Demonstrating an end to end IoT solution providing real-time sensor data from a Raspberry Pi into an Azure IoT Hub, through Stream Analytics, then with outputs to Power BI and SQL DB. Learn how to build this simplified IoT solution from scratch.