22-25 April 2026 
Power BI and PowerShell-A Match Made in Heaven
2019TL; DR
PowerShell loves Power BI. In this session we will take a look at how to manage your datasets, security, monitor licensing and more, all through the ultimate administration interface: PowerShell!
Session Details
Power BI is the shiny new tech for processing and visualizing data in the Microsoft Data Platform. However, the plumbing in the background does need managing (even if it is cloud-based and supposedly automagic).
In this session we will take a look at how to manage your datasets, security, monitor licensing and more, all through the ultimate administration interface: PowerShell!
In this session we'll explore why we need to manage Power BI, what management capabilities we have at our fingertips and the power of PowerShell to simplify and expand these capabilities. We'll then tie it all together to get you started on the road to building a suite of management reports and automated processes because PowerShell loves Power BI!
In this session we will take a look at how to manage your datasets, security, monitor licensing and more, all through the ultimate administration interface: PowerShell!
In this session we'll explore why we need to manage Power BI, what management capabilities we have at our fingertips and the power of PowerShell to simplify and expand these capabilities. We'll then tie it all together to get you started on the road to building a suite of management reports and automated processes because PowerShell loves Power BI!
3 things you'll get out of this session
Speakers
Craig Porteous's other proposed sessions for 2026
Centralise or Federate - How to Scale your Lakehouse - 2026
Do You Really Need a Data Lakehouse? Separating Hype from Business Need - 2026
Craig Porteous's previous sessions
Zero to Lakehouse in Microsoft Fabric
Fabric is Microsoft's unified software as a service data platform, built around a Data Lakehouse architecture. In this session I'll share an array of data Lakehouse architecture patterns, and demonstrate how you can build a full Data Lakehouse platform without ever touching an Azure resource.
Building a Lakehouse on the Microsoft Intelligent Data Platform
This session session aims to give you that context. We'll look at how spark-based engines work and how we can use them within Synapse Analytics. We'll dig into Delta, the underlying file format that enables the Lakehouse, and take a tour of how the Synapse compute engines interact with it. Finally, we'll draw out our whole Lakehouse architecture
Designing Data Architectures that InfoSec will actually approve
In this session I'll guide you from through a secure reference architecture with Data Factory, Databricks, Data Lake, and Azure Synapse, working together as a secure, fully productionised platform. Each has their own idiosyncrasies, but this session will teach you the options available and the pitfalls to avoid.
Why the Lakehouse?
In this session I'll cover what the Data Lakehouse architecture is, where it fits against existing architectures like a data warehouse, and why you should build one. We'll also cover the underlying technology options to arm you with all of the information you need to plan your next data platform.
Keynote by The Community
Ben and Rob have found some wonderful folk to actually do the important parts of the community keynote. on the theme of
How to be a nonpassive member of the data community