Super Night - 2 session in one - Autumn 2025

We are hosting another "Super Night" on Tuesday, 8th April 2025. But this time, we are aiming for two sessions instead of three. (Three was too long)

Kelly will have just returned from FabCon in Los Vegas and will share some of the announcements and exciting new features in Fabric. She will concentrate more on the Data management elements of Fabric than on the visuals and Power BI elements.

We will also hear from:
Jimmy Nagasaputra who will talk about Scaling Power BI Development: TMDL, Tabular Editor, and CI/CD for Enterprise-Ready Analytics.
As data grows in volume and complexity, Power BI's semantic layer is increasingly becoming the backbone of enterprise analytics. With larger and more reusable semantic models and an expanding number of teams managing Power BI semantics, it’s clear that traditional development and deployment methods are no longer sufficient. There is a critical need for source control, automation, and efficient deployment pipelines to meet these challenges.
This presentation will explore how TMDL, Tabular Editor, and CI/CD practices enable scalable, reusable, and maintainable Power BI semantic models, ensuring enterprise-grade analytics that are both reliable and agile.

Nagaraj Venkatesan from Microsoft who will talk about Picking an Intermediate Data Store.
In contemporary data engineering and business intelligence projects, there are numerous scenarios where an intermediate data store is required between a data source and a semantic model. Within Microsoft Fabric, several options are available for an intermediate data store, including Lakehouse, Warehouse, Dataflow, and Datamart. This session will address the following topics:
The necessity of an intermediate data store and the potential issues arising from its absence.
An introduction to the available options: Lakehouse, Warehouse, Dataflow, and Datamart.
A comparative analysis of the features among these options.
A decision tree to assist in determining the appropriate choice for various scenarios.
By the conclusion of this session, participants will be well-equipped to design the appropriate architectural pattern for their specific scenarios, selecting the most suitable intermediate data store.

Come and share pizza, great conversation and free learning.