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Microsoft Fabric Consulting Services

We architect and deploy Microsoft Fabric environments that unify your data estate from raw ingestion in OneLake to real-time analytics, Power BI reporting, and Copilot-powered AI on a single, governed platform built for enterprise scale.

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Our Side of the Story

End-to-end Microsoft Fabric Implementation for Unified Data

Most enterprises do not fail at data because of bad technology. They fail because their data is fragmented across too many tools, teams, and pipelines. Microsoft Fabric is a cloud-based data analytics platform that unifies data engineering, data warehousing, data science, and business intelligence. MultiQoS brings changes aligned with 14+ years of enterprise data engineering experience. We architect and build DataLake pipelines, and wire Copilot into query and reporting workflows.

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With over a decade of industry experience, we bring deep expertise, proven strategies, and reliable solutions that help businesses grow and succeed in a competitive market.

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We have successfully delivered hundreds of projects across various industries, ensuring quality, innovation, and timely execution tailored to our clients’ needs.

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Our client-first approach has helped us build long-term relationships, earning trust through exceptional service, transparent communication, and measurable results.

What We Offer

Microsoft Fabric Consulting Services Built for Enterprise Data Teams

MultiQoS is one of the experienced Microsoft Fabric consulting services provider that covers every layer of your data platform, right from engineering, analytics, governance, and AI.

Microsoft Fabric Strategy & Advisory

Before committing to a Microsoft Fabric rollout, you need to know what you are replacing, what you are keeping, and what the migration will cost. We conduct a full data estate assessment and deliver a phased adoption.

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Tech Stack

Microsoft Fabric Native Stack

Every workload in your data platform, from ingestion to AI runs on a unified Microsoft Fabric architecture with a single copy of data in OneLake.

Category / WorkloadTechnology / ToolsDescription / Purpose
Unified StorageOneLake (ADLS Gen2 foundation)Single copy of data for all Microsoft Fabric workloads
Data IntegrationMicrosoft Fabric Data Factory (Pipelines + Dataflows Gen2)No-code / low-code data ingestion and orchestration
Data EngineeringSynapse Spark (Notebooks, Spark Job Definitions)Large-scale data transformation using PySpark / Scala
Data WarehouseMicrosoft Fabric Warehouse (T-SQL engine)Serverless SQL analytics on structured data
LakehouseMicrosoft Fabric Lakehouse (Delta Lake format)Open table format for structured and unstructured data
Real-Time AnalyticsEventstream + KQL Database + Real-Time HubSub-second event processing and streaming analytics
Data ScienceMicrosoft Fabric ML Experiments + MLflow + NotebooksModel training, tracking, and deployment
Business IntelligencePower BI (Direct Lake mode)Reports and dashboards with zero data copy
AI / CopilotCopilot in Microsoft Fabric + Azure OpenAI IntegrationAI-assisted querying, code generation, and data insights
GovernanceMicrosoft Purview + Microsoft Fabric Admin PortalData catalog, lineage, sensitivity labels, DLP
Data SourcesSQL Server, Oracle, PostgreSQL, MySQL, SAP, Salesforce, Dynamics 365, REST APIsIntegration with existing source systems
Cloud PlatformsMicrosoft Azure (primary), AWS S3 (via Shortcuts), GCS (via Shortcuts)Multi-cloud infrastructure connectivity
Streaming / EventsAzure Event Hubs, Azure IoT Hub, Apache Kafka, Azure Service BusReal-time event ingestion and orchestration
DevOps / CI-CDAzure DevOps, GitHub Actions, Microsoft Fabric Git IntegrationUnified version control and deployment pipelines
OrchestrationMicrosoft Fabric Pipelines, Azure Data Factory (hybrid), Apache AirflowHybrid data workflow management
AI / MLAzure OpenAI, Semantic Kernel, Azure ML, Microsoft Fabric AutoMLAdvanced AI and machine learning integration
SecurityMicrosoft Entra ID (AAD), Microsoft Purview, Microsoft Fabric Workspaces RLSEnterprise-grade access control and compliance
MonitoringAzure Monitor, Microsoft Fabric Capacity Metrics App, Log AnalyticsPerformance tuning and system health tracking
LanguagesPython, PySpark, SQL (T-SQL / KQL), DAX, Power Query M, ScalaCore development and analytical languages

Leverage Data Platforms for Improved Revenue Generation

Most enterprises sit on underused data. Our Microsoft Fabric consulting services turn that data into a production-grade intelligence platform.

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From Idea to Launch

A Consulting Model Built Around How Your Data Actually Flows

Every Fabric engagement starts with your data reality, not a template. We define the lakehouse architecture, structure the migration phases, and hand over a go-live plan your engineering and BI teams can control at every stage.

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AI-Powered Vision Inspection System

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AI-Driven Supply Chain Platform

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AI-Enabled Inventory Management

E-Commerce Fulfilment with AI

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Industries We Serve

Microsoft Fabric Implementation Use Cases Across Industry Verticals

Most Microsoft Fabric implementations fail due to misalignment between platform capability and the specific data problem your industry actually has. We design Microsoft Fabric implementation engagements that operate inside your domain's actual constraints, not generic analytics frameworks applied on top of them.

  • Manufacturing
  • Retail and eCommerce
  • Financial Services
  • Healthcare
  • Supply Chain
  • Fintech

Manufacturing

Our team deploys Microsoft Fabric real-time analytics using Microsoft Fabric Eventstream to collect live data from IoT sensors across the shop floor, routing it into KQL databases that power OEE dashboards and predictive maintenance pipelines. Energy consumption analytics and supplier quality monitoring run on Microsoft Fabric OneLake architecture, eliminating the need for separate storage infrastructure.

  • Predictive Maintenance Pipeline
  • OEE Real-Time Dashboard
  • Energy Consumption Analytics
  • Supplier Quality Monitoring
  • Production Schedule Optimization
  • IoT Event Processing Pipeline
  • Shop Floor Performance Reporting
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Why Choose Us

Why Enterprises Choose MultiQoS for Microsoft Fabric Implementation

Microsoft Fabric implementation is not a configuration task. It is an architecture decision with long-term consequences for data governance, query performance, and total cost of ownership. We offer Microsoft Fabric consulting services, ensuring end-to-end deployment to improve data insights.

Certified Experts Across the Full Microsoft Fabric Stack

Our engineers hold active DP-700 (Fabric Analytics Engineer), DP-203 (Azure Data Engineer), and PL-300 (Power BI) certifications across Azure Data Engineering, Power BI, and the Microsoft Fabric workload suite. When you partner with us, you get a certified Microsoft Fabric Capacity administrator who takes ownership of workspace configuration and security.

Architecture-First, Not Tool-First

Every engagement begins with a Data Architecture Blueprint delivered in Week 1. This document defines your medallion layer structure (Bronze ingestion, Silver cleansing with PII masking, Gold business aggregation), Delta table partitioning keys by query access pattern, and governance taxonomy before any pipeline is built. You see the full schema and data flow before approving sprint work.

Power BI Migration Without Report Rebuild

Our Direct Lake migration methodology preserves your existing Power BI report layer intact. We rewire the semantic model to Direct Lake mode, remap relationships to Delta tables in OneLake, and eliminate the import refresh schedule without requiring your report authors to touch a single dashboard. The result: sub-minute query response replacing multi-hour scheduled imports, and zero report rebuild cost on your team's side.

Real-Time Architecture Built for Production

We do not hand over a working Eventstream pipeline and leave retention and monitoring as a follow-up task. Every real-time architecture we deploy includes dead-letter queue handling, partition-level retry logic, consumer group isolation, and alerting thresholds configured before the first data flows. Monitoring is a sprint deliverable, not an afterthought.

Governance and Compliance Embedded

Microsoft Purview data catalog setup, OneLake lineage visualization, sensitivity label taxonomy, and DLP policy configuration are scoped into sprint 2 of every engagement. Not added as a separate workstream after you go live. By the time production data flows into Fabric, your catalog is populated, your lineage is visible, and your compliance team has a reviewable data map.

End-to-End Delivery with Managed Support

Our managed support service runs on monthly workspace health reports covering capacity utilization, pipeline SLA adherence, and query performance regressions. Capacity rightsizing reviews happen quarterly before you hit throttling, not after. Feature adoption, Fabric release notes, and workload optimization are standing agenda items, not reactive tasks triggered by incidents.

Our Process

How We Deliver Enterprise-Grade Microsoft Fabric Development Services

Microsoft Fabric implementation is a structured engineering program, and our teams deliver each phase aligning them with the business outcomes your business prioritizes.

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Step 01

Discovery & Assessment

We take stock of all the data your company currently has, where it lives, what systems it's in, and what tools you're already using. Then we create an implementation roadmap.

Step 02

Architecture Design

Our experts map out exactly how your data will be organized. Think of it like designing the floor plan of a new house before breaking ground.

Step 03

Foundation Build

We set up your new data environment, connect it to your company's security and login system, and make sure every change is tracked. Like a "version history" for your entire data platform.

Step 04

Pipeline Development

Our teams construct pipelines that automatically extract data from all your current systems and bring it into a single location, and also ensure that data received is accurate and traceable.

Step 05

Analytics & Power BI Layer

We customize your dashboards and reports, and we activate an AI assistant to help your users ask questions in natural language of the information displayed. No coding needed.

Step 06

Testing & Hardening

We test the entire system at peak load before going online, looking for problems, security flaws and that all things work as advertised.

Step 07

Deployment & Handover

We install Microsoft Fabric Platform, migrate your data, train and document your team and remain very available for 30 days to deal with any issues.

Step 08

Managed Support

Once it's up and running, our teams track performance, enable your team to make the most of the platform over time, and review the platform set up quarterly to ensure everything is running smoothly.

Trusted by Our Clients

Praising Voices Reflecting Our Excellent Work

Clients praising us for our work is a true reflection of the amazing work that we have done with heart and soul to pave the way for their success.

Rose H

“It's rewarding to work with a diligent and dedicated team. Excellent guys to work with! Always listened to my thoughts and came up with creative design solutions. Whenever you need them, they are available and eager to share their knowledge.”

Rose H

CEO - Polished

Swantje Uphoff

“I am highly satisfied with their work. Our collaboration is seamless, and we have regular discussions with their developers to define tasks and ensure progress. We were particularly impressed with their excellent communication skills.”

Swantje Uphoff

Founder - Screeners Berlin

BEN T

“Our vision was understood and they asked really detailed questions to find out what was required. A well-defined process was followed during the development process and the team captured requirements diligently. The team is also flexible enough to adjust to the schedule.”

BEN T

CEO - Gameday Guide

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FAQs

Frequently Asked Questions

What is Microsoft Fabric and how is it different from Azure Synapse?

Microsoft Fabric isn't primarily a data platform upgrade. It's an operational model change. Azure Synapse is infrastructure: you manage Spark pools, dedicated SQL pools, and linked services separately, each with its own provisioning logic and governance overhead. Microsoft Fabric collapses all of that. Data engineering, warehousing, real-time analytics, data science, and Power BI run as service layers on a single shared foundation called OneLake, Microsoft's multi-cloud data lake architecture.

Can you migrate our existing Azure Synapse and Power BI Premium environment to Microsoft Fabric?

Yes, and it is one of our core delivery lines. We start with a full inventory: Synapse Spark pools, dedicated SQL pools, ADF pipelines, and Data Lake Gen2 storage. Each workload maps to a direct Microsoft Fabric equivalent, Spark Notebooks, Microsoft Fabric Warehouse, Microsoft Fabric Data Factory pipelines, and OneLake respectively. Power BI Premium datasets migrate to Direct Lake semantic models, which eliminates the import refresh cycle without requiring report rebuilds. Your report layer stays intact.

What does Microsoft Fabric OneLake architecture mean for our data governance?

Most enterprises run three separate governance models without realizing it: one for the warehouse, one for Power BI datasets, and one for Spark workloads. OneLake ends that fragmentation. It provides a single logical namespace across your entire Microsoft Fabric tenant, meaning sensitivity labels, lineage tracking, catalog entries, and DLP policies configured.

How does Microsoft Fabric Power BI migration to Direct Lake mode work?

Direct Lake mode lets Power BI semantic models query Delta tables in OneLake directly, without importing or caching data. The performance implication is real: query latency drops significantly because the model reads from storage rather than a pre-loaded in-memory layer.

What is the cost structure for Microsoft Fabric consulting services?

We scope every Microsoft Fabric engagement on a project basis after the discovery phase, because fixed pricing applied before a data estate assessment produces one of two outcomes: an underscoped delivery or an overpriced proposal.

How do you integrate Microsoft Copilot into a Microsoft Fabric environment?

Copilot in Microsoft Fabric operates at two distinct levels, and conflating them produces a misconfigured deployment. At the workspace level, Copilot assists with data engineering tasks: code generation in Spark Notebooks, natural-language pipeline descriptions, and query scaffolding. At the analytics level, it enables natural-language queries over OneLake data directly inside Power BI.

What industries have you deployed Microsoft Fabric consulting services for?

Our team has implemented Microsoft Fabric solutions in sectors including manufacturing, finance, healthcare, retail and e-commerce, supply chain & logistics, and fintech. Sector-specific implementation examples include OEE and predictive maintenance pipelines in the manufacturing sector, real-time fraud detection infrastructure for financial services customers, HIPAA-compliant unified patient data systems for healthcare enterprises, and DORA and MiFID II regulations reporting for fintech companies.

Do you offer Microsoft Fabric managed support after implementation?

Yes. We provide ongoing managed support across four operational areas. Capacity optimization covers rightsizing Microsoft Fabric capacity units to match actual workload patterns as your usage evolves post-launch. Pipeline health monitoring uses Azure Monitor and the Microsoft Fabric Capacity Metrics App to detect and resolve pipeline failures before they surface as reporting gaps. Workspace governance reviews validate that sensitivity labels, DLP policies, and access controls remain current as the environment grows.

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