Microsoft Fabric Activation Workshop
Full Day — 10am to 4pm
Most organizations that have Microsoft Fabric are not using it yet. They have the license — bundled in their F-Capacity — but the platform is broad, the documentation is written for engineers, and no one on the team has time to figure out what to activate first, what to migrate, and what to leave alone.
This is a full-day working session for analytics and data teams that are ready to move from Power BI standalone to Microsoft Fabric. Not a demo, not a feature tour. We work through your actual architecture, agree on an activation sequence that fits your data maturity, and you leave with a concrete roadmap and hands-on experience with the components that matter for your context.
Who it’s for
BI leads, analytics managers, and data engineers at organizations already running Power BI that want a clear, low-disruption path into Fabric. This is not an executive overview — it’s a hands-on day for the people who will actually build and maintain the platform.
What participants will be able to do
After this workshop, participants understand how Microsoft Fabric fits together as a platform, can navigate the key workloads, and have a concrete picture of what a Fabric migration means for their current environment — including what to tackle first.
Format
- Full-day live workshop, 10am to 4pm
- Maximum 5–7 participants
- Hands-on throughout — participants work in a shared Fabric environment during the session
- Based on real experience from enterprise deployments
What we cover
The day runs two independent modules. Each is self-contained and hands-on — participants work in a live Fabric environment throughout.
Module 1 — Real-Time Analytics (morning)
Ingest streaming data with Eventstreams, store and query it in a KQL Database, build auto-refreshing real-time dashboards, and configure Activator alerts that trigger automatically when thresholds are breached. Participants leave knowing how to monitor live business data without waiting for batch refreshes.
Module 2 — Data Engineering and Power BI Direct Lake (afternoon)
Process structured and unstructured data from Azure Data Lake using Fabric Notebooks (PySpark/Python), store results in a Lakehouse with Delta tables, and build Power BI reports in Direct Lake mode — no import, no scheduled refresh, instant results. Participants leave with a working end-to-end pipeline.
Optional — Git Integration and CI/CD
For teams that need version control and deployment governance: connect Fabric workspaces to Azure DevOps, manage dev/prod branches, create pull request workflows, and use environment variable libraries to separate configuration from code. Added based on team maturity and time.
What’s included
- Pre-session discovery call to understand the team’s current stack and migration context (45 min)
- Workshop materials and environment access
- Post-session architecture Q&A window (2 weeks via email)
Every team’s context is different. Reach out to discuss your current stack, goals, and whether this workshop is the right fit.
Get in touch