Microsoft Fabric Consulting: What an Architecture Review Must Deliver

Microsoft Fabric can bring data integration, Data Engineering and Power BI together on one platform. Whether it becomes a dependable solution for your business, however, is not decided in a product demo. It depends on your source systems, security requirements and operating processes.

Microsoft Fabric consulting should therefore start with an architecture review that delivers verifiable results. As an IT or data leader, you need more than a target diagram: you need traceable decisions, clear ownership and a practical starting point for implementation.

In short: A Fabric architecture review must document how data sources will connect, where security boundaries sit and why particular architectural components were selected. It is complete when an implementation team can work from its findings and outstanding risks have owners and specific validation steps.

What preparation does a Microsoft Fabric implementation need?

A Microsoft Fabric implementation needs a clearly scoped use case, an inventory of relevant data sources and agreed security and operational requirements. Without these foundations, the architecture remains an assumption rather than a reliable basis for decisions.

Do not start by choosing Fabric features. Start with a business outcome: for example, a sales report with clearly defined metrics that must be available at an agreed time.

Prepare the following information for the architecture review:

• Business objective: Which decision or process should the solution support? Who signs off on the result?
• Source systems: Which databases, applications, files and interfaces are required?
• Data requirements: What history, freshness and quality are necessary?
• Existing landscape: Which Azure services, data platforms and Power BI solutions will remain?
• Constraints: What identity, privacy, network access and operational policies apply?

Not every answer needs to be ready before the first workshop. Missing information should, however, enter an open-issues log with an owner and a deadline. This prevents uncertainty from silently becoming an architecture decision.

What deliverables should Microsoft Fabric consulting include?

Microsoft Fabric consulting should produce working documents your team can review and reuse. The minimum deliverables are a source inventory, data flow and target architecture diagrams, a security design, documented architecture decisions and a prioritised implementation plan.

A source inventory with connection requirements

A list of system names is not enough. Each source needs a data owner, access method, required objects, refresh requirements and known constraints.

Changes and deletions deserve particular attention: how will the integration identify new records, apply corrections and handle deleted source data? Available extraction windows, interface limits and any required gateways also belong in the inventory.

A target design that makes data flows visible

The architecture diagram must show how data moves from its source to a usable data product. It should distinguish ingestion, storage, transformation, the semantic model and consumption.

Include planned workspaces, relevant Fabric components and connections to existing systems. Every arrow needs a meaning: does it represent data transfer, access or a dependency? Diagrams that blur these distinctions can hide operational risks.

An actionable implementation plan

The plan identifies work packages, dependencies, owners and acceptance criteria. It separates demonstrated feasibility from open questions. An untested connection to a critical source system must not appear as a completed prerequisite.

How are security boundaries in Microsoft Fabric validated?

Security boundaries become credible when permitted and prohibited actions are tested for specific identities and access paths. A list of workspace roles is not sufficient.

The review must establish who can administer, ingest, modify and read data. User groups and technical identities are mapped to the intended workspaces, items and data access permissions. Development, testing and production need a documented separation strategy.

Crucially, a restriction in a Power BI report does not automatically protect every route to the underlying data. Row-Level Security in a semantic model does not replace checks on direct access through other endpoints or permissions.

A verifiable security design therefore includes:

• a permissions matrix covering roles, resources and allowed actions;
• documented data classifications and data residency requirements;
• rules for technical identities and credential handling;
• required network boundaries and confirmation that selected features support them;
• positive and negative tests for relevant access paths.

A negative test might verify that an authorised report user cannot directly read sensitive raw data. Record the result, test identity and access path used.

How do architecture decisions become traceable?

Architecture decisions become traceable when requirements, alternatives and consequences are explicitly connected in writing. “It is best practice” is not a sufficient justification for a specific Fabric architecture.

Short Architecture Decision Records (ADRs) work well for significant choices. Each record describes the context, options considered, selected approach and its drawbacks or limitations.

Typical decisions include:

• Lakehouse or Warehouse: Which data structures, SQL requirements and development skills shape the choice?
• Data integration: Do pipelines, Dataflows Gen2 or Mirroring suit the source and its required change-handling behaviour?
• Power BI access: Is Import, DirectQuery or Direct Lake appropriate for the semantic model?
• Data organisation: Which layers and data products need separate ownership?
• Operations: How will changes be deployed, failures detected and failed loads rerun?

These options are not interchangeable. Support and limitations must be checked for the specific source, feature and environment. Where documentation leaves uncertainty, a focused technical test is needed.

How we approach the review

At Ailio, we connect the architecture review to a clearly scoped first implementation step. Our team in Bielefeld and Hamburg works from your business priorities and technical constraints.

1. Define outcomes and acceptance criteria

Together with business stakeholders, IT and the data team, we define the first use case. We document what success looks like: agreed metrics, a required refresh time and defined user groups, for example. These become the review criteria.

2. Assess the landscape and prioritise risks

We document sources, existing data flows and security requirements. We then identify assumptions that could undermine the target design. Missing change information from a source system matters more at this stage than future workspace naming.

3. Test critical assumptions

Rather than building a broad demo, we test the uncertainties that matter: does the proposed connection work? Can changes and deletions be processed correctly? Does the planned access separation hold?

We document the test scope and its limitations. A successful sample-data test does not automatically demonstrate production-load performance or complete data quality.

4. Finalise decisions and handover

We consolidate the target design, permissions matrix, test results and decision records. These feed a prioritised implementation backlog. Open issues receive owners and explicit conditions for starting the next implementation stage.

How can you tell whether an architecture review is implementation-ready?

An architecture review is implementation-ready when your team can explain the data flows, access rules and key decisions without filling in gaps themselves. Open questions are acceptable if their implications and next validation steps remain transparent.

Use these questions for acceptance:

• Are all sources within the agreed scope documented with their connection requirements?
• Is it clear where data will be stored, processed and made available?
• Have relevant permitted and prohibited access scenarios been tested?
• Are alternatives and consequences recorded for key decisions?
• Is ownership clear for operations, error handling and business data quality?
• Does the first implementation package have explicit acceptance criteria?

If answers are missing, have those gaps addressed before implementation. An architecture review does not need to anticipate every future expansion. It needs to make the next step dependable.

Your next step

Are you introducing Fabric or reviewing an existing plan? Through our Microsoft Fabric consulting, we help you identify which architecture questions need answers first—and which verifiable deliverables you need before implementation begins.