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Microsoft Fabric

Microsoft Fabric development services by Prominent AI Services LLP

What Is Microsoft Fabric?

Microsoft Fabric is Microsoft's all-in-one analytics platform. It brings data integration, data engineering, data warehousing, real-time analytics, data science and Power BI together on one shared data lake called OneLake. Our Fabric services help you plan, build and migrate to it.

Microsoft Fabric unifies data engineering, data warehousing, real-time analytics, data science and Power BI in a single SaaS platform built on OneLake. We help organisations adopt Fabric to simplify their data estate and accelerate analytics and AI.

From architecture and migration of existing Synapse or Power BI workloads to lakehouse design, pipelines and governance, our team delivers a scalable Fabric foundation tailored to your business.

Technology engineering excellence at Prominent AI Services

Our Microsoft Fabric Capabilities

End-to-end Microsoft Fabric expertise delivered by experienced engineers.

We follow an agile delivery model with short sprints, transparent reporting, code reviews and automated testing. Engage us for a fixed-scope project, a dedicated team or ongoing support, and scale as your needs evolve. Need a dedicated specialist? Hire experienced developers from our team.

Business problems Microsoft Fabric solves

  • Too many separate data tools. Fabric replaces a patchwork of ingestion, warehouse, Spark and BI services with one platform and one bill.
  • Data copied into many places. OneLake stores data once, in open Delta format, and every workload uses the same copy.
  • Slow path from data to reports. Pipelines, lakehouses and Power BI semantic models work together, with Direct Lake for fast reporting.
  • Governance is fragmented. Central security, lineage and Microsoft Purview integration simplify data governance.

Microsoft Fabric use cases by industry

  • Financial services: consolidated finance, risk and customer data with governed reporting.
  • Healthcare: unified clinical and operational analytics with strict access control.
  • Logistics: real-time shipment and fleet analytics alongside historical reporting.
  • Education: student, finance and LMS data brought together for reporting.
  • Telecom: high-volume usage and network data with real-time intelligence.

Fabric workloads we work with

We work with OneLake and shortcuts, Data Factory pipelines and dataflows Gen2, lakehouses and warehouses, Spark notebooks in Python and PySpark, Real-Time Intelligence with eventstreams and KQL databases, Data Science and ML models, and Power BI semantic models in Direct Lake mode. We also plan capacity, workspaces, security and Purview governance, and migrate from Azure Synapse, Data Factory and SQL Server.

How we deliver Microsoft Fabric projects

  1. Assessment: we review your current data estate, reports, licences and goals.
  2. Architecture: we design workspaces, a medallion (bronze, silver, gold) lakehouse structure, security and capacity.
  3. Build or migrate: pipelines, lakehouses and semantic models are built or moved in phases.
  4. Validate: results are reconciled with existing reports before switching users over.
  5. Adopt and govern: training, monitoring of capacity usage and governance processes.

How you can work with us

Choose a fixed-scope Fabric implementation or migration, or hire data engineers and Power BI consultants with Fabric experience. Related services: data engineering and dashboards.

Why choose Prominent AI for Microsoft Fabric

  • Deep Microsoft data platform experience, from SQL Server and Synapse to Fabric.
  • Migrations validated against your existing reports.
  • Capacity planning to keep Fabric costs predictable.
  • Governance and security designed in from the start.

Considering Microsoft Fabric? Tell us about your current data platform, and we will assess whether and how to move. Start your AI journey.

Last updated: October 2026 · Prominent AI Services LLP engineering team

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Frequently Asked Questions

Common questions about our Microsoft Fabric services.

What are the benefits of Microsoft Fabric?

One platform and one copy of data in OneLake reduce integration effort, cost and complexity across analytics workloads.

Yes. We plan and execute migrations that reuse existing models, reports and pipelines where possible.

Fabric uses capacity-based licensing. We help you size capacity to balance performance and cost.

Our fee depends on the number of sources, reports and workloads in scope. Fabric capacity is billed separately by Microsoft; we size the capacity you need and estimate the monthly cost.

A first lakehouse with a few sources and Power BI reports typically takes six to ten weeks. Larger migrations are delivered in phases.

Yes. Smaller capacities make Fabric accessible to growing businesses, especially those already using Power BI and Microsoft 365. We assess whether it is cost-effective for your workloads.

For many organisations, Fabric is the successor to Synapse for analytics. We assess your Synapse workloads and plan a phased move where it brings clear benefits.

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