ConsultingMicrosoft Fabric Consulting
Microsoft Fabric consulting helps organisations bring their data infrastructure onto a single SaaS platform. Fabric combines ingestion, transformation, storage, modelling and reporting on top of OneLake. During the engagement we review your current data sources and reporting needs, then design an architecture around them. Medallion layering, the choice between Lakehouse and Warehouse, Power BI integration through Direct Lake and capacity planning are all settled at this stage. You end up working on one data platform instead of several ETL tools and duplicated data sets.
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What the Engagement Covers
- Reviewing current data sources and reporting needs
- Planning the Fabric environment, workspaces and capacity
- Designing the Medallion architecture and the OneLake data layout
- Building ingestion with Dataflow Gen2, pipelines and notebooks
- Choosing between Lakehouse and Warehouse, and dimensional modelling
- Building a Direct Lake semantic model and the Power BI reports on top
- Configuring security, row-level access and governance
- Capacity monitoring, cost optimisation and handover to your team
Data Architecture with Microsoft Fabric
Fabric holds warehouse and lake architecture on the same platform. OneLake is the shared storage layer that keeps one copy of the data, so different workloads read the same files without duplicating them. In the Medallion approach — bronze, silver and gold — raw data is cleaned in stages until it is ready for business use. Ingestion is automated with Dataflow Gen2 and data pipelines, while larger transformations run on notebooks and Spark. The choice between Lakehouse and Warehouse follows how your teams query data and what governance you need.
Where Microsoft Fabric Is Used
Fabric suits any process where data volume is high and the steps are spread across tools. In manufacturing, line data and quality measurements can be monitored close to real time. In retail, sales, stock and campaign data are combined for store-level analysis. In finance, consolidated reporting and period comparisons run on a single semantic model. With Direct Lake, Power BI reports read straight from OneLake without copying the data, which cuts refresh time and capacity usage. Real-Time Intelligence covers alerting and monitoring on streaming data.
Frequently Asked Questions
It covers building your ingestion, storage, modelling and reporting end to end on Fabric. Environment and capacity planning, the Medallion architecture, pipeline development, semantic model design and governance are the main headings.
It starts with an analysis of your current data sources and reporting needs. We then agree the target architecture, set up the environment and deliver a first end-to-end flow on a chosen case. Reports go live in the final stage, together with a handover to your team.
Not necessarily. Fabric builds on your existing Power BI investment. The move makes sense once data volume grows, several ETL tools are in play, or report refresh times get long.
Keeping one copy of the data removes duplicated data sets and the sync work around them. Data engineering and reporting run on the same platform, so development takes less time. Capacity is managed in one place, which makes cost more predictable.
Fabric is licensed by capacity. The right capacity level is decided during the engagement, based on your data volume and how many people use it at once.
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