Microsoft Fabric Consulting Services

Cost follows scope: the number of sources, data volume, workloads to migrate, and how much of the build your own team takes on. Most engagements start with an assessment priced on its own, and a fixed-scope estimate for implementation follows architecture approval. For a ballpark, the first call covers your sources and goals. F-SKU capacity is billed separately by Microsoft through Azure.

We look at where your data lives, how much of it already sits in Microsoft services, your Power BI licensing, and the workloads you plan to run. When most sources are Microsoft-based and Power BI is your reporting layer, Fabric is usually a strong fit. When it isn’t, the assessment says so and recommends the alternative.

Look for hands-on Fabric delivery, Microsoft partner status, and a process that produces an architecture and capacity plan before implementation starts. Ask how the company sizes F-SKU capacity, handles Power BI Premium migration, and trains your team to run the platform. Named deliverables at each stage are a good sign.

Assessment, architecture, and capacity planning take roughly 4 to 6 weeks together. A first workload, such as one domain’s lakehouse and reports, typically goes live 4 to 12 weeks after that, and larger estates move in phases. These timeframes are indicative and depend on data volume, source complexity, and stakeholder access.

Yes. Once the architecture and capacity plan are approved, our team builds the lakehouses, pipelines, semantic models, and security configuration in phases. Each phase ends with a working build, documentation, and training, and you decide whether we continue, hand over, or support your team as it builds the next workloads.

We start where your data already lives. OneLake shortcuts and mirroring can bring in data from Azure SQL, Snowflake, and other sources without a full migration, so Fabric can run alongside existing platforms while workloads move in priority order. The roadmap decides what moves, what stays, and when.

Yes. Data Factory offers connectors for databases, SaaS applications, and file sources, and OneLake shortcuts reach Azure Data Lake Storage, Amazon S3, and Google Cloud Storage. Fabric also works natively with Power BI, Microsoft Purview, and Azure services. The specific connectors you need, and their licensing, are confirmed during the assessment.

Fabric uses Microsoft Entra ID identities and supports workspace roles, item permissions, row-level security, and Microsoft Purview sensitivity labels and lineage. These controls can support your governance program. We configure them to the policies your security and compliance teams approve and document the model for your administrators.

Yes. Our Fabric team includes consultants certified as Microsoft Fabric Analytics Engineers (DP-600) and Microsoft Fabric Data Engineers (DP-700), and each engagement is led by a certified consultant. Their work is backed by Code Creators’ Microsoft Solutions Partner status, and certifications are renewed annually to stay current with Fabric updates.

At the start, your team needs to know the data and reports far more than Fabric itself. We pair with your analysts and engineers during each phase and deliver role-based training, so by handover your Power BI authors can work with Direct Lake semantic models and your data team can maintain the pipelines.