As a Microsoft Solutions Partner, DataArt works closely with Microsoft to help teams understand and adopt new technologies. One of the ways we support this effort is by delivering the Microsoft Fabric Analyst in a Day workshop — full-day, hands-on sessions that help data analysts understand how Fabric fits into their daily work and broader analytical workflows.
These workshops are practical by design. We focus on demonstrating how Fabric behaves in real-world scenarios, so users leave with more than just theory — they leave with hands-on experience.
Why We Run These Workshops
Microsoft Fabric consolidates multiple workloads into a single environment, including data engineering, data science, real-time processing, and business intelligence.
Many teams are used to moving work across multiple tools, which often slows analysis and creates gaps in understanding.
Fabric offers a simpler path: fewer handoffs, fewer context switches, and a clearer line from raw data to published reports.
But a unified platform also requires a shift in skills and habits. Our goal is to shorten that shift. The workshop helps analysts understand Fabric's concepts, tooling, and workflows, enabling them to begin using it with confidence.
What Participants Learn
The Analyst in a Day workshop is built for Power BI users who want to take their next step into Fabric. Over eight hours, participants learn how to:
- Bring data into Fabric using Shortcuts and Dataflows Gen2
- Transform data using Visual Queries and Dataflows Gen2
- Build managed ETL pipelines in Fabric
- Create and publish Power BI reports
- Work across the full analytics lifecycle, including refresh and automation patterns
The day combines theory, demos, and guided labs. Trainers demonstrate concepts in Fabric and then support participants as they work through exercises in a virtual environment. The format works well for mixed-experience groups — experienced users move quickly, while newer users get help whenever they need it.
We maintain a steady pace, and when someone encounters an obstacle, we resolve it immediately, so they don't lose momentum. Throughout the day, we connect the exercises to real project scenarios, so participants understand where Fabric fits into business workflows.
What We’ve Learned as Trainers
After running multiple workshops, a few things stand out:
- People learn faster when they see something done in Fabric before doing it themselves.
- Sessions work better when they're interactive — featuring short expert talks, Q&A, and discussions on how features behave in production.
- Hands-on time remains the part people value most.
Participant feedback reflects this:
"The labs were helpful — I learn by doing."
"Good balance of explanations and practice."
"Clear structure and helpful pacing."
We continue adjusting the workshop based on what we see and hear from participants.
Where Organizations Struggle When Starting with Fabric
Beyond individual learning, there are organization-wide questions that come up repeatedly. These are the patterns we see most often:
- Uncertain architecture direction
Teams want to understand how Fabric fits with existing Azure services, what stays, what changes, and what a sensible migration path looks like.
- Workspace and governance questions
Fabric's approach to workspaces, permissions, and lifecycle management is new for many teams and requires early planning and consideration.
- Practical understanding of OneLake and shortcuts
Conceptually simple, but teams need to see concrete use cases before they adopt them broadly.
- Analyst workflows shift
Analysts accustomed to their current data transformation and modeling methods often require guidance on working more fluidly within a single environment.
- Cost planning
The Fabric cost model differs significantly from traditional Azure setups, allowing teams to have higher predictability of their spending; however, it requires a new approach to budget planning.
Addressing these topics early helps organizations move forward with fewer missteps.
Why Fabric Adoption Matters for Data Leaders
Fabric is not only a new tool for analysts — it has implications that extend across the entire data organization. For data leaders, Fabric can:
- reduce the number of tools needed to support the analytics lifecycle
- streamline governance when more work happens inside one environment
- lighten the dependency chain between analysts and engineering
- simplify platform maintenance
- create a more consistent path from ingestion to reporting
Adoption is easier when analysts understand the basics, which is why foundational training matters.
Continuing Our Work with Fabric
The Analyst in a Day workshop is one part of a broader collaboration with Microsoft. Beyond training, DataArt supports organizations in planning, designing, and implementing Fabric-based data platforms.
We've helped teams build Fabric solutions from scratch and migrate from older technologies. The workshop provides analysts with the foundation they need; architecture and implementation take teams further along the journey.
To join an upcoming session, follow DataArt updates or check the Microsoft Events platform for details.
