Microsoft Fabric Consulting in the UK, Proven in Production
Kanerika provides Microsoft Fabric consulting for UK organisations that want one governed platform for data, reporting and AI. Our Microsoft Fabric consultants cover design, pipelines, lakehouse models, security and real-time work. Our Microsoft Fabric implementation services run from strategy and workspace design through migration to production.
See How Kanerika Builds Microsoft Fabric Solutions
Measured Gains From Fabric Adoption
Overall cost savings
Three-year ROI
Faster data access
Quicker insight cycles
Team productivity growth
Forrester’s Total Economic Impact study of Microsoft Fabric, commissioned by Microsoft in May 2024, found a 379% three-year ROI for a composite organisation. UK buyers can read the study summary.
Microsoft Fabric Consultants for UK Enterprises
Microsoft MVPs and Fabric Superusers lead our delivery, supported by architects and engineers who have put Fabric into production. Kanerika is a Microsoft Fabric Featured Partner and a Microsoft Solutions Partner for Data and AI with the Analytics specialization. Our Microsoft Fabric specialists have delivered production deployments since Fabric’s early availability, covering Lakehouse architecture, pipelines, governance and AI analytics.
Fabric Architects
Every UK engagement has a named Fabric architect who stays involved from assessment to handover.
Data Engineers
Engineers build Lakehouse pipelines, governance controls and AI reporting on Fabric deployments already running in production.
Power BI Developers
Developers deliver semantic models and Power BI reports on Fabric, ready for Copilot and AI-driven analytics.
Analyst Recognition
Everest Group named Kanerika a Major Contender in its 2026 Microsoft Azure Services PEAK Matrix.
Microsoft Fabric Consulting Services for UK Organisations
Our services for UK organisations cover every stage of a Fabric programme, from strategy and workspace design to migration, engineering and ongoing support. We start with an assessment that reviews your current analytics estate and produces an adoption plan, including storage and access design.
Assessment & Planning
- Review your current estate and agree a Fabric adoption plan.
- Design workspaces, storage layout and role-based access.
- Rank use cases for reporting, analytics and AI by value.
Deployment and Go-Live
- Roll out Fabric across your existing Microsoft estate using proven patterns.
- Link Azure SQL, Data Factory, Power BI and business applications.
- Configure Lakehouse, Warehouse, Pipelines and Real-Time hubs.
Pipeline Engineering
- Create dependable dataflows, pipelines and notebook jobs.
- Handle streaming and batch loads to shorten the time to insight.
- Organise Lakehouse storage with consistent folder patterns.
Lakehouse Layers and Data Quality
- Plan OneLake folder structure for clean, reusable data access.
- Set rules that keep records fresh and accurate.
- Prepare shared datasets for analysts and BI developers.
Reporting Models and Power BI Delivery
- Rebuild legacy SSAS and complex models as Fabric semantic models.
- Speed up reports with Direct Lake mode and tidier model design.
- Write sound DAX measures, relationships and business rules.
Copilot and Generative AI Features
- Bring Copilot into reporting work to produce insight faster.
- Generate summaries, reports and insights directly from business data.
- Apply AI assistance to data cleaning and field mapping.
Real-Time Intelligence and Event Streams
- Build live dashboards that follow events as they occur.
- Ingest streaming signals from applications, devices and business systems.
- Raise alerts so operations staff can respond to issues quickly.
Security, Access and UK Compliance
- Set workspace roles, item permissions and strict user access.
- Meet UK GDPR, Data Protection Act 2018, SOC 2 and ISO requirements.
- Protect sensitive data with secure storage and network rules.
Microsoft Fabric IQ: One Business Definition Layer for AI and Reporting
Fabric IQ unifies semantic models, ontology and graph relationships in Fabric’s shared storage, giving Copilot and AI agents an accurate picture of your business. Our certified Fabric engineers run the full rollout, from setup to tuning, once your workspace is live.
Shared Metric Definitions
Agree what revenue, churn and other key measures mean once in Fabric, then apply that definition to every report, dashboard and AI agent.
Business Ontology
Describe entities, relationships and business rules inside Fabric so agents reason about how your operations work instead of guessing from raw tables.
Graph in Microsoft Fabric
Trace multi-hop links between customers, products and processes with no-code visual graph queries, exposing dependencies that flat tables and dashboards miss.
Operations Agents
Anchor Copilot and custom AI agents to your ontology and live signals, so answers stay accurate, current and specific to your organisation.
Migration to Microsoft Fabric
Our Microsoft Fabric migration services for UK organisations cover reporting, analytics and AI workloads, including Azure to Fabric, SQL Services to Fabric and Informatica to Fabric moves. We map the quickest route into Fabric and include pipeline and governance support in every migration.
Azure to Fabric Migration
Review Synapse pipelines, SQL data sources and Power BI estates.
Transfer lake databases and orchestration into Fabric Lakehouse and Pipelines.
Migrate SQL warehouses to Fabric Warehouse.
SQL Services to Fabric Migration
Extract SSIS packages, SSAS models and SSRS reports out of SQL Server.
Load the files into FLIP and choose the target Fabric workspace.
FLIP generates Fabric pipelines, semantic models and reports automatically.
Informatica to Fabric Migration
Choose the Informatica mappings and send them for automated processing.
FLIP converts the files within minutes and records each migration step.
Release the generated data flows and pipelines into your Fabric workspace.
Microsoft Fabric Integration Services Across Your Existing Systems
Fabric delivers most when the rest of your data estate connects to it. We map current sources, pipelines and tools, then build dependable, governed links into the workspace so UK business users and analysts reach every system through one platform.
Azure and Synapse Connections
Link Azure SQL, Synapse pipelines and Data Factory to your Fabric workspace through governed connections.
Informatica and SSIS Pipeline Conversion
Convert Informatica mappings and SSIS packages into native Fabric data pipelines with no manual rebuild.
Power BI Reports and Model Connections
Bring current Power BI reports and semantic models into Fabric for unified, AI-ready reporting.
SAP, Salesforce and Other Business Applications
Feed SAP, Salesforce and other enterprise applications into Fabric using our Microsoft Fabric integration services.
Why UK Organisations Choose Kanerika as a Microsoft Fabric Partner
Production Fabric Experience
Specialist Lakehouse architecture consulting alongside pipeline, governance and AI reporting work for UK clients.
Microsoft MVPs and Superusers Leading Delivery
Deep platform knowledge from the Microsoft MVP and Superusers who work on UK engagements.
Microsoft Solutions Partner for Data and AI
Recognised for consistent delivery quality across data modernisation and analytics projects.
Early Production Adopter
Among the first companies worldwide to run Microsoft Fabric in production environments.
Microsoft Fabric Featured Partner
Recognised as a Fabric implementation partner for high-quality, scalable deployments for UK organisations.
Official Delivery Partner for FAIAD and RTIAD
Certified to run the Fabric Analyst in a Day and Real-Time Intelligence in a Day training programmes.
MIGRATION SOLUTIONS
How UK Enterprises Work With Kanerika on Microsoft Fabric
Independent Microsoft Fabric Architecture Review Before a Dynamics 365 Go-Live
Impact:
- ~136 Findings documented before go-live
- ~30 Days estimated for pre-cutover remediation
- 6 Weeks to an independent, evidence-based go/no-go view
70% Less Investigation Time with One Governed Ontology on Fabric
Impact:
- 70% Less investigation and reconciliation time
- 85+ Governed KPIs standardized across Power BI
- 40+ Entities and relationships modeled across key domains
60% Less Reporting Effort Across 3 SAP Systems on Fabric
Impact:
- 60% Reduction in time spent per reporting cycle
- 35+ Source tables connected across the order lifecycle
- 50+ Governed KPIs standardizing lead-time reporting
Your First Steps
Step 1
Free Consultation
Speak with our specialists about your challenges and see how Microsoft partner funding can reduce migration cost.
Step 2
Proof of Concept
We build a small pilot on your data so you can judge the results before committing.
Step 3
Full Implementation
Our delivery covers advisory through ongoing support, and we stay involved well beyond go-live.
Let’s Transform Your Business
Frequently Asked Questions (FAQs)
How do UK organisations choose a Microsoft Fabric consulting partner?
Look for production Fabric experience, proven moves from legacy platforms and support that continues after go-live. Kanerika covers all three, with data engineering depth behind its Fabric work, so UK organisations deal with a single accountable team from design through to ongoing support.
What are the stages of a Fabric adoption project?
Adoption runs in three stages: a free consultation to review your current setup, a proof of concept that shows results before you commit, and full implementation. Delivery spans strategy, workspace design, pipelines, Lakehouse design, Power BI reporting, governance and support. See our Microsoft Fabric services for the full scope of work.
Why move to Fabric from older Microsoft data platforms?
Older estates split ETL, warehousing and reporting across separate tools that need servers, manual upkeep and complicated scaling. Fabric brings them onto one cloud-native platform that scales automatically, cutting infrastructure overhead. Microsoft is also directing its investment toward Fabric, while tools such as SSIS receive only maintenance updates, which matters for UK organisations planning multi-year roadmaps.
How does Kanerika work with UK organisations day to day?
Delivery is remote, with onsite workshops when needed and working hours that overlap with UK business hours. Kanerika is a Microsoft Fabric Featured Partner and a Microsoft Solutions Partner for Data and AI, and our FLIP accelerator automates much of the migration work, so projects start from tested methods rather than a blank page.
How long does a Fabric rollout take?
Standard enterprise deployments take 4 to 8 weeks, covering workspace setup, governance implementation and integration with your existing data sources. Bigger programmes with several source systems take longer, and enterprise-wide rollouts can run beyond six months. A proof of concept gives you a firm schedule before you commit, and our accelerators shorten timelines while maintaining quality.
Which legacy systems can move into Fabric?
We migrate Azure Data Factory and Synapse pipelines, SQL Server workloads including SSIS packages, SSAS models and SSRS reports, Informatica mappings and Alteryx workflows from on-premises or cloud. Reporting moves to Power BI, while SAP, Salesforce and other enterprise sources connect through our integration services. Each route follows an accelerator-led process with its own dedicated migration service.
Can Fabric work alongside other cloud platforms?
Yes. Shortcuts let Fabric read data in Azure storage, Amazon S3 and Google Cloud Storage without copying it, so reporting can span several clouds. Some external sources, including S3 and Google Cloud Storage, are read-only through a shortcut, so each dataset needs a decision: reference it, mirror it or copy it.
What does OneLake do inside Microsoft Fabric?
It is the single, built-in data lake under every Fabric workload. Data engineering, warehousing, real-time work and Power BI all read from the same storage, which removes silos and duplicate copies. Shortcuts can reference data held elsewhere. Kanerika designs the structure and governance of this layer in every Fabric engagement for UK clients.
How does an Azure to Fabric migration run?
We review your Synapse pipelines, SQL data and Power BI estate, then move lake databases and pipelines into Fabric Lakehouse and Pipelines and SQL warehouses into Fabric Warehouse. FLIP converts ADF and Synapse pipelines into Fabric-native workflows, keeping transformation logic, linked services and scheduling. Explore our Azure to Fabric migration service for the full scope.
What happens in an SSIS to Fabric migration?
Your SSIS .dtsx packages go into FLIP, which reads the metadata and converts the logic to Power Query. FLIP then builds a semantic model and template in your Fabric workspace, along with Dataflow Gen2 items that reproduce the SSIS logic. Validation confirms structures and data flows before production. See our SSIS to Fabric migration service.
What should we ask a Fabric partner about working with our in-house team?
Ask how the partner will work alongside your in-house data team, who owns each task and what handover covers. A strong partner brings platform experience in production, proven migration tracks from legacy systems and a delivery model that fits your timeline. Kanerika assigns a named architect, documents what it builds, offers training and stays involved after handover. Also ask whether the team has specialists in Lakehouse architecture and governance, and request references from comparable migrations before signing anything.
Can Kanerika connect Fabric to our existing systems?
Yes. Kanerika’s Microsoft Fabric integration services connect Fabric to your existing stack, including Azure SQL, Synapse, Power BI, Informatica, SSIS, SSAS, SAP and Salesforce. We map current sources, design the pipelines and deploy unified flows in the Lakehouse and Warehouse layers, for batch and real-time streaming data. Each integration is built to be reliable, scalable and compatible with Fabric’s shared storage, and checked against your security and governance rules before go-live.
Is Kanerika a certified Fabric partner for UK projects?
Yes. Kanerika is a certified Microsoft Fabric implementation partner and is officially listed as a Microsoft Fabric Featured Partner. We also hold the Microsoft Data and AI Solutions Partner designation, and our team includes Microsoft MVPs and Superusers. Our track record spans insurance, retail and manufacturing. Packages run from proof of concept to production, with post-launch support and governance configuration. Everest Group also named Kanerika a Major Contender in its 2026 Microsoft Azure Services PEAK Matrix.
What support does Kanerika offer after go-live?
Kanerika covers the full platform lifecycle, from assessment and architecture design through migration, rollout and post-deployment management. Support includes performance monitoring, governance tuning, pipeline troubleshooting and capacity optimisation. We also offer training aligned with FAIAD and RTIAD certifications. Our working hours overlap with UK business hours, so questions and incidents are answered during your working day. You can choose short-term advisory help or a longer managed support arrangement, and we shape the model around your needs.
Who owns the pipelines and models built for us?
You do. Ownership of every deliverable is set in the statement of work, including the Lakehouse architectures we design, the migrated Informatica and SSIS workloads and the Power BI reporting we build. Our consultants document each component and hand over architecture, code and access controls, so your in-house data team can run the platform. We take responsibility for the migration itself and stay through deployment until everything runs as designed. If you later bring support in-house, that documentation eases the transfer.
What does a Fabric IQ project involve?
The work begins with an audit of your reporting estate: which semantic models exist, how people use them, where definitions clash and which business entities suit an ontology. We then build a first ontology for a single domain, link it to existing semantic models and widen it once the business signs off the definitions. Our Fabric IQ guide adds background.
Do your Fabric consultants hold Microsoft credentials?
Yes. Microsoft MVPs and Fabric Superusers work on our UK engagements, and Kanerika is a Microsoft Fabric Featured Partner and a Microsoft Solutions Partner for Data and AI with the Analytics specialization. Every engagement is led by a named Fabric architect from assessment through handover.
Why use Fabric IQ when we already have Power BI semantic models?
A Power BI semantic model defines measures for reports and dashboards. Fabric IQ extends that layer with business ontology and graph relationships, then exposes it to Copilot and AI agents as well as BI tools. Entities, rules and relationships are modelled once and reused for analytics and agentic AI. Our Power BI services in the UK cover reporting.
What does Fabric cost, and what do consulting fees look like?
Fabric is priced by capacity. You buy a Fabric capacity (an F SKU) that all workloads share, paid as you go or reserved for one or three years at a lower rate. Storage is billed separately, and Power BI Pro licences are still needed for report creators and for viewers on capacities below F64. Our consulting fees usually start in the low five figures and rise into six figures for large programmes. Our Microsoft Fabric pricing guide covers SKUs.
Should a UK organisation choose Fabric or Databricks?
Fabric is a Microsoft SaaS platform that puts data engineering, warehousing, real-time analytics and Power BI on one storage layer. Databricks is a lakehouse platform on AWS, Azure and Google Cloud, widely used for Spark-heavy engineering and machine learning. Both use the Delta format, so they can run side by side. We compare workloads, skills and cloud strategy first, drawing on our Databricks consulting services in the UK. Read our Microsoft Fabric vs Databricks comparison. Planning a move? See our Databricks to Microsoft Fabric migration service.
How is a Fabric environment laid out?
Every Fabric workload sits on one built-in data lake that stores data in Delta format. Above it, Fabric offers data engineering, Data Factory for integration, data warehousing, Real-Time Intelligence, data science and Power BI. Teams often arrange data in bronze, silver and gold lakehouse layers and serve it through semantic models. Our Microsoft Fabric architecture guide explains each component, and our consultants shape the layout with you around your sources and reporting needs.
How does Fabric support UK GDPR and security requirements?
Fabric authenticates every request through Microsoft Entra ID and encrypts data by default. We layer workspace roles, row-level security and Microsoft Purview sensitivity labels on top, alongside Conditional Access and private links for network control, so access supports UK GDPR and Data Protection Act 2018 duties, plus FCA, PRA or NHS requirements where they apply. Our Microsoft Fabric governance guide sets out the approach.
What role does Data Factory play in Fabric?
Data Factory is Fabric’s data integration workload. It offers data pipelines for orchestration, copy jobs for ingestion and Dataflow Gen2 for low-code transformation, and it is the next generation of Azure Data Factory. Teams running Azure Data Factory can move their pipelines across, and we plan those moves through our Azure to Fabric migration service for UK organisations.
What does a Fabric lakehouse give you?
A Fabric lakehouse combines the scalability of a data lake with the query features of a data warehouse. Tables are stored in Delta format in Fabric’s shared lake, raw files sit alongside them, and a read-only SQL analytics endpoint is created automatically so analysts can query tables with T-SQL. We design lakehouse layers and folder structure as part of delivery. Our Microsoft Fabric lakehouse guide goes deeper.
What is covered by Fabric data engineering work?
Fabric data engineering covers lakehouses, Spark notebooks and jobs, and pipelines that ingest, clean and transform data into reporting-ready tables. We build the pipelines and quality rules, then connect them to semantic models and Power BI. See our Fabric data engineering guide, our data engineering services or our data engineering services across the UK.
