OneLake unified storage
Store, govern, and access every dataset across your bronze, silver, and gold layers in one lake, with no copies and no drift between teams.
Microsoft Fabric Consulting Services, from Fragmented Stack to AI-Ready Insight
NeenOpal is a Microsoft Fabric Featured Partner and a Microsoft Solutions Partner for Cloud & AI Platforms. Our Microsoft Fabric consulting services take you from assessment to adoption across OneLake, Data Factory, Synapse Data Engineering, warehousing, Power BI Direct Lake, real-time intelligence, and Copilot, so one governed lakehouse replaces the stack you maintain today.
What Is Microsoft Fabric?
Microsoft Fabric brings your data engineering, warehousing, real-time analytics, and Power BI reporting into one platform, built on a single data lake called OneLake. Instead of juggling separate tools that all need their own setup and upkeep, your team works from one governed source of truth.
This simplifies two things most teams struggle with: capacity and security. You size and pay for one platform instead of a different tool for every job, and you set permissions once, in one place, instead of managing access separately for the lake, warehouse, and BI tool.
Outcomes Enterprise Leaders Measure Us By
$750M+
Financial impact delivered to clients
85%
Reached North Star outcomes within 90 days
8X
Faster go-to-market with AI acceleration
1000+
Power BI dashboards delivered
The Capabilities We Help You Adopt
Microsoft Fabric implementation, workload by workload, in the order that earns value fastest.
Data Factory pipelines
Ingest and prepare data from 200+ connectors, whether it's your CRM, ERP, marketing tools, or flat files, using a visual designer or your own code.
Data Engineering notebooks
Build Spark pipelines in Synapse Data Engineering notebooks that hold up under production load, with version control and testing built into how we work.
Fabric Data Warehouse
A SQL Fabric data warehouse tuned for large, concurrent analytical queries, so dashboards stay fast even as more people and workloads hit the same data.
Power BI dashboards
Interactive reports on Power BI Direct Lake, fast without full data imports, so refreshes stay quick and dashboards reflect what's actually happening right now.
Real-Time Intelligence
Stream events, detect what matters, and trigger action within seconds, instead of waiting on the next scheduled batch job to notice something already changed.
Microsoft-Certified Expertise, Built to Last
Every credential here is backed by real delivery: 8,000+ hours of Azure delivery, 1,000+ Power BI dashboards shipped, 30+ reusable accelerators and 40+ Fabric and data workflows shipped by 25+ Microsoft-certified engineers, spanning OneLake, Data Factory, Fabric Data Warehouse, Power BI Direct Lake, and Real-Time Intelligence.
That's what brings you priority access to Microsoft's co-sell and funding programs, faster delivery through Microsoft's go-to-market resources, and a team Microsoft has already vetted for Fabric delivery.
Microsoft Fabric Featured Partner
Recognized by Microsoft for proven, real-world experience delivering Fabric solutions for customers, so you modernize your data on a strong foundation built to scale with Fabric.
Analytics on Microsoft Azure specialization
Independently audited for our ability to design, deploy, and manage enterprise-scale analytics solutions on Azure, on top of our Data & AI designation.
Two Microsoft Solutions Partner designations
Recognized by Microsoft for technical capability and customer success in both Data & AI (Azure) and Digital & App Innovation on Azure.
See NeenOpal’s Fabric Data Agent Answer Real Business Questions
This is a Fabric data agent our team configured and tested against a real growth question, answered in plain language, straight from governed OneLake data. No static dashboard, no analyst pulling the numbers first. It runs on the same governed Fabric warehouse and lakehouse architecture we build for every client.
A Real NeenOpal Engagement on Fabric
For a title insurance company, NeenOpal moved a legacy Power BI setup onto a Microsoft Fabric warehouse, consolidating on-prem and cloud sources into OneLake and rebuilding models on Direct Lake, all tested through dev and UAT, with a fast rollback ready before go-live.
Where Our Microsoft Fabric Experts Help, and How
From migration to governance, our engineers handle the Fabric work that keeps your data reliable and AI-ready.
Data engineering & pipeline design
We design Fabric-native pipelines for your Data Factory and Data Engineering workloads, with retry logic, failure notifications, and documented troubleshooting steps, so a broken connector is caught in minutes.
Dashboarding & BI implementation
We move existing Power BI models onto Direct Lake for near-instant performance, then design dashboards around the questions your stakeholders raised during discovery, reviewed with them before rollout.
AI-enabled analytics & Copilot
We configure Copilot and Fabric AI Functions against your governed OneLake data, and set up data agents so business teams can ask growth questions in plain language.
End-to-end adoption & governance
We set access on the least-privilege principle from day one, granting read or write only where a role needs it, then add row and column-level security and audit trails.
Proof of Concept & acceleration
Before a full commitment, we run a scoped proof of concept sized to your Fabric capacity, so you see real query performance and cost on your own data first.
Migration & modernization
We migrate Synapse SQL pools, ADF pipelines, Databricks workloads, and legacy warehouses onto Fabric one workload at a time, using the same framework behind every Synapse migration we run.
Related Data Engineering services
At NeenOpal, we build data engineering solutions end-to-end, from raw, scattered source systems to clean, governed pipelines your business can reliably run on.
Data Strategy & Architecture Services
Defining the data strategy, governance, and architecture roadmap that aligns data with business goals.
Discover More
Data Pipeline Engineering Services
Designing and building automated, reliable data pipelines that keep your analytics always current.
Discover More
Data Warehouse Modernization Services
Modernizing legacy data warehouses into scalable, cloud-native architectures built for speed and governance.
Discover MoreEngagement Models Built for Scalable Microsoft Fabric Delivery
Managed Team
A dedicated project manager plus the Microsoft Fabric consultants your project needs, owning the delivery end-to-end.
Schedule a strategy session
Staff Augmentation
Microsoft Fabric consultants join your existing team for short-term or specialist implementation needs.
Find available experts
Architecture Review
We start with a review, then prove it with a POC, or move straight to full deployment, your call.
Request a project estimate
Microsoft Fabric Consulting FAQs
NeenOpal is a global consulting firm focused on data engineering, analytics, and AI-driven strategies.
A unified, AI-powered SaaS platform combining data engineering, integration, warehousing, real-time analytics and Power BI on one logical data lake, OneLake, so teams work in one place instead of stitching tools together.
The full lifecycle: Microsoft Fabric implementation and migration, pipeline and warehouse engineering, Power BI on Direct Lake, governance and security, Copilot and AI enablement, plus scoped proof-of-concept work.
Yes. We handle Microsoft Fabric migration for legacy warehouses like SQL Server, Oracle, Teradata and Netezza, plus Synapse, Data Factory pipelines, Databricks workloads and Power BI models. We assess first, so nothing surprises you.
Yes. NeenOpal is a Microsoft Fabric Featured Partner, a recognition of our proven, real-world experience delivering Fabric solutions for customers.
Yes. Governed Fabric data is available to Copilot and AI functions, and pairs with Microsoft Foundry, formerly Azure AI Foundry, to build agents and automated decisions grounded in your business.
No. Power BI is part of Fabric. We usually move your models onto Power BI Direct Lake, so reports perform instantly without full data imports and refreshes stop reloading everything.