ENABLEMENT AT SCALE
€147kAnnual savings
Measured in operational cost reduction.- 128%ROI
- 6 monthsPayback
- €734kFive-year value
- −6Applications
Microsoft Fabric training for data teams and professionals
Microsoft Fabric training for data teams and professionalsMake Microsoft Fabric understandable before you scale it.
Make Microsoft Fabric understandable before you scale it.
A practical training for data teams, BI specialists and business leaders who need to choose the right Fabric patterns, ownership model and next steps.
- 1Learn
- 2Choose patterns
- 3Scale with confidence
Led by senior OnModus specialists who connect platform choices to real business use cases.
Delivered forClient data and reporting results
-
€147kannual savings
-
+20%KPI improvement in the first month
Choose your starting point
Which Fabric course fits your role?
Choose a course or tell us you need an in-house path. We will carry it into the enquiry form so the conversation starts in the right place.
New to Microsoft Fabric?Start with the platform, core services and one end-to-end workflow.
Start with Foundations · €795
Building for production?Go deeper into engineering, security, governance and deployment.
Go deeper · €995
Need the complete route?Connect foundations and production practice across two full days.
Full Fabric TrackChoose the full track · €1,495
Aligning a delivery team?Shape in-house training around shared ownership, architecture and workflows.
Plan team enablement
A risk to recognise early
A connected platform is still hard to manage when decisions have no owner
Ownership gapFour platform decisions are active without a named owner.
ServiceDecision it carriesWho answers
OneLakeWhere data physically livesUnassigned
PipelinesWhat moves, and whenUnassigned
Semantic modelWhat the numbers meanUnassigned
Power BIWhat people actually readUnassigned
Every service is switched on, but no one answers for the decision behind it.
Shared Fabric ownership modelEvery platform decision has a named owner.
ServiceDecision it carriesWho answers
OneLakeWhere data physically livesPlatform owner
PipelinesWhat moves, and whenData engineering
Semantic modelWhat the numbers meanBI specialists
Power BIWhat people actually readBusiness teams
Same platform, same services — but every decision has a name against it.
The OnModus solution: Where the platform gaps usually are
See Fabric as one connected path—not a list of products.
Follow the handover from source data through storage, preparation and modelling to reporting, then focus on the choices that matter in your role.
-
Land and store
-
Organise and move
-
Model and decide
- Data sources Where information begins Raw records
- OneLake One logical data foundation One copy
- Lakehouse Organise engineering and analytics data Structured tables
- Pipelines and Dataflows Gen2 Move and prepare information Refreshed data
- Semantic model Create shared business meaning Agreed measures
- Power BI Turn models into trusted reporting Trusted reporting
- Raw records
- One copy of data
- Structured tables
- Refreshed data
- Agreed measures
- Trusted reporting
Each stage hands something specific to the next, from raw records to a decision.Each stage hands something specific to the next. Scroll to follow the handover from raw records to a decision.
MUNICIPAL DELIVERY
Municipality of Amsterdam+20%
KPI improvement in the first monthWoo compliance improved through real-time insights.
- +75%After 6 months
- 2 monthsDelivery
- 1600Users
- 137 → 63 daysAverage response time
Choose the decisions to solve
Choose the Fabric depth that matches your work
Start with a practical foundation, go deeper into production concerns, or take both days as one connected route. Team enablement can be shaped around your workflow.
Starting point
Microsoft Fabric Foundations
Best for: End users, developers and data engineers who are new to Microsoft Fabric.
- Load and explore data without waiting on IT
- Build your first lakehouse, pipeline and report the right way
- Speak the same Fabric language as the rest of the team
You will learn
- Fabric architecture & OneLake
- Navigating workspaces and items
- Lakehouse and warehouse basics
- Data Factory pipelines & Dataflows Gen2
- Power BI reporting with Direct Lake
- Sharing, endorsement & Copilot in Fabric
You will leave with: A working understanding of Fabric, plus one completed end-to-end scenario—from raw data to a shared report.
- Duration
- 1 full day
- Investment
- €795
Optional
Microsoft Fabric Deep Dive
Best for: Data engineers, admins and developers who build, secure and run Fabric in production.
- Engineer pipelines and lakehouses that hold up at scale
- Set up governance, security and cost control before users find the gaps
- Automate deployment instead of clicking through environments by hand
You will learn
- Advanced data engineering: Notebooks, Spark & medallion architecture
- Advanced Data Factory & Fabric Databases
- Real-Time Intelligence: Eventstream, Eventhouse & Data Activator
- Data Science in Fabric
- Administration, governance & security
- CI/CD, deployment pipelines & cost management
You will leave with: A production-ready Fabric setup you built yourself—governed, secured and deployable through CI/CD.
- Duration
- 1 full day
- Investment
- €995
Full Fabric TrackFull track
Foundations + Deep Dive
Best for: People who want the complete route from first principles to a production-ready platform.
Day 1 builds the shared Fabric foundation. Day 2 applies it to engineering, governance, security and deployment.
- Connect raw data to a shared report
- Apply governance and security to the platform
- Automate deployment across environments
You will leave with: The working understanding and governed, secured, deployable setup described in both course days.
- Duration
- 2 full days
- Investment
- €1,495
What the courses connect
Turn the Fabric product list into four decisions you can explain
OnModus compares the options through your role and a relevant workflow, so you understand what fits—and what to question.
Storage choice
Where should the data live?
Compare OneLake, Lakehouse and Warehouse patterns through the way you work with data.
- OneLake
- Lakehouse or Warehouse
Movement choice
How should the data move and change?
Compare Pipelines, Dataflows Gen2 and notebooks for different movement and preparation needs.
- Pipelines or Dataflows
- Notebooks
Meaning choice
How does reporting stay trustworthy?
Connect shared definitions, semantic models and Power BI so the handover to reporting makes sense.
- Semantic models
- Power BI
Scale choice
How do you prepare for responsible scale?
Recognise the capacity, permission, ownership and governance questions that should be answered early.
- Capacity
- Ownership & governance
Business impact
Fabric is not only a platform decision. It is an operating model decision.
The platform can scale quickly. Without ownership, governance, cost control and business alignment, it becomes another complex data estate.
-
15–25%
of revenue at risk from bad data
Source: MIT Sloan Management ReviewWhy this matters
MIT Sloan Management Review estimates the cost of bad data at 15% to 25% of revenue for most companies. Better data means fewer mistakes, lower costs and better decisions.
-
$12.9M
average annual cost of poor data quality
Source: GartnerWhy this matters
Gartner states that poor data quality costs organisations at least $12.9 million a year on average. The issue is not dashboards, it is decision quality.
-
From months to days
time to resolve business problems with data
Source: McKinseyWhy this matters
McKinsey says many business problems still take months or years to resolve through traditional approaches. In a data-driven enterprise, employees use data techniques to resolve challenges in hours, days or weeks.
-
80%
of governance initiatives predicted to fail by 2027
Source: GartnerWhy this matters
Gartner predicts 80% of data and analytics governance initiatives will fail by 2027 if they are not tied to a real business need. Governance must enable business outcomes.
Revenue at risk
from bad data
- $12.9Maverage annual cost of poor data quality
- 80%of governance initiatives predicted to fail by 2027
- From months to daysTime to resolve business problems with data
The OnModus advantage
This is not tool training. It is capability building for teams that need faster decisions, cleaner data, lower reporting effort and stronger governance.
- Ownership of data products
- Shared definitions
- Governance by business outcome
- Cost-aware architecture
- Reducing duplicated data movement and reporting logic
- Giving teams a common operating language
View evidence sources
MIT Sloan Management Review estimates the cost of bad data at 15% to 25% of revenue for most companies. Better data means fewer mistakes, lower costs and better decisions.
Gartner states that poor data quality costs organisations at least $12.9 million a year on average. The issue is not dashboards, it is decision quality.
Gartner predicts 80% of data and analytics governance initiatives will fail by 2027 if they are not tied to a real business need. Governance must enable business outcomes.
Business flow
- OneLake foundation
- Govern & trust
- Enable teams
- Drive outcomes
This is not tool training. It is capability building for teams that need faster decisions, cleaner data, lower reporting effort and stronger governance.
That is why Fabric training should focus on
- Ownership of data products
- Shared definitions
- Governance by business outcome
- Cost-aware architecture
- Reducing duplicated data movement and reporting logic
- Giving teams a common operating language
Practical training details
You do not need to know the whole platform before you arrive
Bring your role and your Fabric questions. These confirmed details make the rest of the day easy to prepare for.
- Group size
- Small groups with a minimum 3, maximum 10 participants.
- Delivery
- Hosted on site in Arnhem, with a custom in-house option available.
- Languages
- Delivered in Dutch, German or English.
- Coverage
- Available across the Netherlands and North Rhine-Westphalia in Germany.
- Starting point
- No prior knowledge is required for Foundations. Deep Dive is for engineers, admins and developers working toward production.
Location
A focused training day at our Arnhem office
-
Training venueOnModus officeTraining is hosted by our own specialists at the OnModus office in WTC Arnhem. -
Easy arrivalCentral station locationThe office is directly above Arnhem Central Station and easy to reach by car or public transport. -
OnModus workspaceWork through the real problemSmall groups use the room to solve reporting and platform questions together. -
OnModus hospitalityReset between working sessionsThe light-filled lounge is where lunch, coffee and informal questions continue.
Four location photos
Questions Fabric users ask
Know what this training will—and will not—solve
Choose your starting point
Start with how the main Fabric tools fit together.
Start here
No. You can start without prior Fabric knowledge; we begin with the basics and connect the day to your role and questions.
Yes. OnModus connects what you already know to the wider Fabric platform and focuses the training on the decisions relevant to your role.
Yes. We can compare choices such as Lakehouse versus Warehouse and Pipelines versus Dataflows Gen2 through your role and learning goals.
Yes. Bring a workflow, ownership issue or architecture decision and we can use it to shape the examples and discussion.
No. It is practical professional training, separate from discovery, migration, technical delivery and exam-only preparation.
Practical questions
Yes. We can include these topics when they are relevant to your responsibilities and the Fabric questions you bring.
Fabric can smooth background usage over time, so earlier bursts may affect capacity later even when no heavy job is running now. Start with the Capacity Metrics app to see which workloads and items are driving the pressure before you optimise or scale.
Dataflows Gen2 capacity use depends on data volume, transformations, copy mode and the compute engine, so there is no fixed multiplier. Compare the workload in Capacity Metrics and choose Dataflows, notebooks or pipelines for the job you actually need.
OneLake Shortcuts can reference supported external storage instead of creating another physical copy. Confirm the source, permissions and workload support first, because a shortcut does not remove every access or performance consideration.
Direct Lake can fall back when model, query, capacity or feature conditions are not supported, or when resources are tight. Check the model’s Direct Lake status and capacity telemetry before changing the architecture.
Specialist questions
A new Lakehouse table may need metadata to propagate before Power BI can use it. Refresh the Lakehouse or SQL analytics endpoint view, check permissions, and then refresh the semantic model before investigating deeper.
A workspace admin or another authorised user may be able to take over a Dataflow through the supported ownership controls. Confirm the required workspace role and review the impact before saving changes.
Use supported Git integration and deployment pipelines where your workspace and items allow them. Agree ownership, review changes through pull requests, and validate the deployment before it reaches shared users.
Start with your real question
Tell us which Fabric decision is slowing you down
- Personal goals
- Small-group
- Editable
Choose your path