Microsoft Fabric Consulting, Implementation & Migration ServicesÂ
Kanerika helps enterprises use Microsoft Fabric to build strong AI-powered analytics foundations. Our Microsoft Fabric consultants guide you through setup, design, data pipelines, lakehouse models, security, real-time analytics, and AI-powered reporting.
Get Started with Microsoft Fabric Consulting Service Solutions
Watch Kanerika Deliver Impactful Microsoft Fabric Solutions
Proven Expertise, Measurable Outcomes
Overall cost savings
Three-year ROI
Faster data access
Quicker insight cycles
Team productivity growth
379% is the three-year ROI for a composite organization in Forrester’s Total Economic Impact study of Microsoft Fabric, commissioned by Microsoft in May 2024. Read the study summary.
Our Microsoft Fabric Consultants
Microsoft MVPs and Fabric Superusers lead our team, alongside architects and engineers who have taken Fabric into production. We are a Microsoft Fabric Featured Partner and a Microsoft Solutions Partner for Data and AI with the Analytics specialization.
Fabric Architects
A named Fabric architect leads every engagement and stays involved from assessment through handover.
Data Engineers
Build Lakehouse pipelines, governance, and AI analytics, with Fabric running in production for enterprise clients.
Power BI Developers
Deliver semantic models and Power BI reporting on Fabric, ready for Copilot and AI-driven analytics.
Analyst Recognition
Named a Major Contender in the 2026 Everest Group Microsoft Azure Services PEAK Matrix.
Microsoft Fabric Consulting and Implementation Services
Kanerika's Microsoft Fabric consulting services span every stage, from strategy and workspace design to migration, engineering, and ongoing support.
Consulting & Planning
- Review your analytics setup and develop a Microsoft Fabric adoption plan.
- Design workspace layout, OneLake structure, and access rules.
- Identify strong use cases for analytics, AI, and reporting.
Implementation & Deployment
- Deploy Fabric across your Microsoft ecosystem with best practices.
- Connect Fabric to Azure SQL, Data Factory, Power BI, and apps.
- Configure Lakehouse, Warehouse, Pipelines, and Real-Time hubs.
Pipeline Development
- Build reliable dataflows, pipelines, and notebook-based tasks.
- Support streaming and batch data movement for faster insight cycles.
- Set up Lakehouse storage using clean folder patterns.
Data Quality & Lakehouse Design
- Build strong folder design inside OneLake for clean data use.
- Apply rules to improve data freshness and accuracy.
- Organize shared datasets for analytics and BI teams.
Semantic Models & Power BI Reporting
- Convert old SSAS or complex models into Fabric semantic models.
- Improve speed through Direct Lake mode and refined model layouts.
- Build strong DAX logic, relationships, and business rules.
Gen AI & Copilot Integration
- Add Copilot features into analytics tasks for quicker insight creation.
- Auto-generate summaries, reports, and insights from business data.
- Use AI to assist with data cleanup and field mapping.
Real-Time Intelligence & Event Analytics
- Build live dashboards that track events as they happen.
- Process streaming signals from apps, devices, and business systems.
- Trigger alerts so teams can act quickly on issues.
Governance, Access & Compliance
- Set up OneLake access rules and strict user permissions.
- Maintain compliance with GDPR, HIPAA, SOC 2, and ISO needs.
- Guard sensitive data with secure storage and network rules.
Microsoft Fabric IQ: The Semantic Intelligence Layer for AI-Ready Analytics
Fabric IQ unifies semantic models, ontology, and graph relationships in OneLake, giving Copilot and AI agents a real picture of your business. Our certified Fabric engineers handle the full rollout, from setup to tuning, once your workspace is live.
Unified Semantic Models
Define revenue, churn, and other core metrics once in Microsoft Fabric, then reuse that single definition across every report, dashboard, and AI agent.
Business Ontology
Model your entities, relationships, and business rules directly in Fabric, so agents reason about your operations instead of guessing from raw tables.
Graph in Microsoft Fabric
Explore multi-hop relationships across your business with no-code visual graph queries, uncovering dependencies that flat tables and dashboards miss entirely.
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Operations Agents
Ground Copilot and custom AI agents in your ontology and real-time signals, so responses stay accurate, current, and specific to your enterprise.
Microsoft Fabric Migration Services
Kanerika offers specialized Microsoft Fabric migration services for analytics, reporting, and AI, including Azure to Fabric, SQL Services to Fabric, and Informatica to Fabric migration. As trusted migration partners, we map the fastest path to Fabric, with full pipeline and governance support included.
Azure to Microsoft Fabric Migration
Assess Synapse pipelines, SQL data, and Power BI setups.
Move Lake databases and pipelines into Fabric Lakehouse and Pipelines.
Shift SQL warehouses into Fabric Warehouse.
SQL Services to Microsoft Fabric Migration
Export SSIS packages, SSAS models, and SSRS reports from SQL Server.
Upload to FLIP and select target Fabric workspace for deployment.
Automatically build Fabric pipelines, semantic models, and reports.
Informatica to Microsoft Fabric Migration
Select Informatica mappings and submit them for automated processing.
FLIP processes files within minutes and logs every migration step.
Deploy auto-generated data flows and pipelines in Fabric workspace.
Microsoft Fabric Integration Services for Your Enterprise Stack
Fabric works best when your entire data ecosystem connects to it. We map your existing sources, pipelines, and tools, then build reliable, governed connections into the Fabric workspace so your teams get unified, real-time access across every system.
Azure and Synapse Integration
Connect Azure SQL, Synapse pipelines, and Data Factory to your Microsoft Fabric workspace seamlessly.
Informatica and SSIS Pipeline Migration
Migrate Informatica mappings and SSIS packages into native Fabric data pipelines without any manual rebuild.
Power BI and Semantic Model Connectivity
Integrate existing Power BI reports and semantic models into Fabric for unified, AI-ready analytics output.
SAP, Salesforce, and Third-Party Sources
Connect SAP, Salesforce, and other enterprise apps to OneLake through our Microsoft Fabric integration services.
Why Choose Kanerika as Your Microsoft Fabric Consulting Partner
Proven Fabric Expertise
Microsoft Fabric consulting experts across Lakehouse architecture, pipelines, governance, and AI analytics.
Microsoft MVPs and Superusers on Team
Elite technical expertise from Microsoft MVP and Superusers with deep platform knowledge.
Microsoft Data & AI Solutions Partner
Recognized for consistent delivery excellence across data modernization and analytics projects.
Early Global Implementer
One of the first companies worldwide to deploy Microsoft Fabric in production environments.
Microsoft Fabric Featured Partner
Recognized as a Microsoft Fabric implementation partner for high-quality, scalable deployments
Official FAIAD and RTIAD Delivery Partner
Certified to deliver Fabric Analyst in a Day and Real-Time Intelligence in a Day training program.
MIGRATION SOLUTIONS
How Enterprises Level-Up Analytics with Kanerika and 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
Getting Started
Step 1
Free Consultation
Talk to our experts about your challenges, and learn how Microsoft partner funding lowers migration cost.
Step 2
Proof of Concept
We build a small pilot to demonstrate value. See results before committing to full implementation.
Step 3
Full Implementation
 As end-to-end Microsoft Fabric consulting and support providers, we stay involved well past go-live.
Let’s Transform Your Business
Frequently Asked Questions (FAQs)
What is Microsoft Fabric and how does it help enterprises?
Microsoft Fabric is a unified analytics platform that combines data engineering, data warehousing, data science, real-time intelligence, and business intelligence. It helps enterprises eliminate data silos by storing all data in OneLake and enables seamless collaboration across analytics workloads with integrated AI capabilities.
How does Kanerika help businesses adopt Microsoft Fabric?
Kanerika guides adoption in three steps: a free consultation to assess your current setup, a proof of concept that shows results before you commit, and full implementation. Delivery covers strategy, workspace design, pipelines, Lakehouse design, Power BI reporting, governance, and ongoing support, and our team stays involved well past go-live.
Why should companies migrate to Microsoft Fabric from legacy systems?
Legacy platforms split ETL, warehousing, and reporting across separate tools that need servers, manual maintenance, and complex scaling. Fabric unifies them in one cloud-native platform that scales automatically, so you cut infrastructure overhead and get analytics, AI, and governance together. Microsoft is also directing its investment toward Fabric, while tools like SSIS receive only maintenance updates.
What makes Kanerika a trusted Microsoft Fabric consulting partner?
Kanerika is a Microsoft Fabric Featured Partner and a Microsoft Solutions Partner for Data and AI, with Microsoft MVPs and Superusers on the team. We were among the first companies worldwide to run Fabric in production, and our FLIP accelerator automates migration work, so you get proven delivery rather than a first-time project.
How long does a typical Microsoft Fabric implementation take?
Standard enterprise deployments take 4 to 8 weeks, covering workspace setup, governance implementation, and integration with your existing data sources. Larger or multi-source programs take longer, depending on data volume, migration scope, and compliance needs. Kanerika’s accelerators shorten timelines while maintaining quality, and a proof of concept gives you a firm schedule before you commit.
What systems can be migrated to Microsoft 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 into Fabric. Reporting moves to Power BI, and SAP, Salesforce, and other enterprise sources connect through our integration services. Each path follows an accelerator-led process with its own dedicated migration service.
Does Microsoft Fabric work with multi-cloud environments?
Yes. OneLake shortcuts let Fabric read data in Azure storage, Amazon S3, and Google Cloud Storage without copying it, so analytics can span clouds. Some external sources, including S3 and Google Cloud Storage, are read-only through a shortcut, so the design choice for each dataset is whether to reference, mirror, or copy it.
What is OneLake in Microsoft Fabric?
OneLake is the single, built-in data lake that sits under every Microsoft Fabric workload. Data engineering, warehousing, real-time analytics, and Power BI all read from the same storage, which removes silos and duplicate copies. Shortcuts can also reference data stored elsewhere. Kanerika designs the OneLake structure and governance as part of every Fabric engagement.
How does Kanerika's Azure to Fabric migration work?
We assess your Synapse pipelines, SQL data, and Power BI setups, then move lake databases and pipelines into Fabric Lakehouse and Pipelines and shift SQL warehouses into Fabric Warehouse. FLIP converts ADF and Synapse pipelines into Fabric-native workflows, preserving transformation logic, linked services, and scheduling. Learn more about our Azure to Fabric migration service.
What does SSIS to Fabric migration involve?
You upload your SSIS .dtsx packages to FLIP, which extracts the metadata and converts the logic into Power Query. FLIP then generates a semantic model and template in your Fabric workspace, plus Dataflow Gen2 that replicates the SSIS logic. Validation confirms structures and data flows before production. See our SSIS to Fabric migration service.
What should I look for in a Microsoft Fabric consulting company?
A strong Microsoft Fabric consulting company brings three things: hands-on platform experience, proven migration tracks from legacy systems, and a delivery model that fits your timeline. Kanerika checks all three. We are a Microsoft Data and AI Solutions Partner with certified consultants, real production deployments, and structured engagement paths covering advisory, implementation, and ongoing support. Ask about certifications, past migration projects, and whether the team has specialists in Lakehouse architecture and OneLake governance before signing anything.
Does Kanerika offer Microsoft Fabric integration services?
Yes. Kanerika’s Microsoft Fabric integration services cover connections between Fabric and your existing enterprise stack, including Azure SQL, Synapse, Power BI, Informatica, SSIS, SSAS, SAP, and Salesforce. Our team maps your current data sources, designs integration pipelines, and deploys unified flows inside Fabric’s Lakehouse and Warehouse layers. We handle both batch and real-time streaming data. Every integration is built for reliability, scalability, and full compatibility with OneLake’s unified storage architecture.
Is Kanerika a certified Microsoft Fabric implementation partner?
Yes. Kanerika is a certified Microsoft Fabric implementation partner and is officially listed as a Microsoft Fabric Featured Partner. We hold the Microsoft Data and AI Solutions Partner designation, and our team includes Microsoft MVPs and Superusers with deep platform expertise. Our implementation track record spans insurance, retail, and manufacturing. We offer structured packages from proof-of-concept to full production deployment, backed by post-launch support and governance configuration. Clients typically see measurable results within 90 days of go-live.
What Microsoft Fabric consulting and support services does Kanerika provide?
Kanerika is among the few Microsoft Fabric consulting and support providers that cover the full platform lifecycle. From initial assessment and architecture design through migration, implementation, and post-deployment management, our teams stay involved after go-live. Support includes performance monitoring, OneLake governance tuning, pipeline troubleshooting, and capacity optimization. We also offer training aligned with FAIAD and RTIAD certifications. Whether you need short-term advisory or a long-term managed support engagement, we build the model around your specific needs.
What makes Kanerika's Microsoft Fabric consulting experts stand out?
Kanerika’s Microsoft Fabric consulting experts combine platform depth with business context. Our team includes Microsoft MVPs, Superusers, and certified data engineers who have run production deployments since Fabric’s early availability. These Microsoft Fabric consultants have built Lakehouse architectures, migrated Informatica and SSIS workloads, configured OneLake governance, and delivered Power BI reporting at enterprise scale. We do not just configure the platform. We design the architecture, own the migration, and stay through deployment to make sure everything runs as designed.
How does a Fabric IQ consulting engagement work?
It starts with a BI audit: an inventory of your semantic models, how they are used, where definitions conflict, and which business entities suit an ontology. We then build a first ontology on one domain, connect it to your semantic models, and extend it once the business confirms the definitions. For background, read our Fabric IQ guide.
Are your Microsoft Fabric consultants certified?
Yes. Our team includes Microsoft MVPs and Fabric Superusers, 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 who stays involved from assessment through handover.
How is Fabric IQ different from a standard Power BI semantic model?
A Power BI semantic model defines metrics for reporting and dashboards. Fabric IQ extends that same layer with business ontology and graph relationships, then exposes it to Copilot and AI agents, not just BI tools. That means entities, rules, and relationships are modeled once and reused for both analytics and agentic AI, not redefined for each system.
How much does Microsoft Fabric cost?
Fabric is priced by capacity. You buy a Fabric capacity (an F SKU) that all workloads share, either pay-as-you-go or reserved for one or three years at a lower rate. OneLake storage is billed separately, and Power BI Pro licenses are still needed for report creators, and for viewers on capacities below F64. The right size depends on your workloads and concurrency, which we size during the assessment. See our Microsoft Fabric pricing guide for SKU details.
What is the difference between Microsoft Fabric and Databricks?
Fabric is a Microsoft SaaS analytics platform that puts data engineering, warehousing, real-time analytics and Power BI on one OneLake storage layer. Databricks is a lakehouse platform that runs on AWS, Azure and Google Cloud, and is widely used for Spark-heavy engineering and machine learning. Both use the Delta format, so they can run side by side. We compare your workloads, skills and cloud strategy before recommending one. Read our Microsoft Fabric vs Databricks comparison.
What does a Microsoft Fabric architecture look like?
Every Fabric workload sits on OneLake, a single built-in data lake that stores data in Delta format. On top of it, Fabric provides data engineering, Data Factory for integration, data warehousing, real-time intelligence, data science and Power BI. Teams usually organize data into bronze, silver and gold layers in lakehouses, then serve it through semantic models. Our Microsoft Fabric architecture guide covers the components, and our consultants design the layout with you.
How secure is Microsoft Fabric?
Fabric authenticates every request through Microsoft Entra ID and encrypts data by default. You then layer access control with workspace roles, item permissions, OneLake data access roles, row-level security in semantic models and Microsoft Purview sensitivity labels, plus Conditional Access and private links for network control. We configure these as part of governance from the start. See our guide to Microsoft Fabric governance.
What is Data Factory in Microsoft Fabric?
Data Factory in Fabric is the data integration workload. It covers data pipelines for orchestration, copy jobs for data ingestion and Dataflow Gen2 for low-code transformations, and it is the next generation of Azure Data Factory. Teams on Azure Data Factory can move their pipelines across, and we plan those moves in our Azure to Fabric migration service.
What is a lakehouse in Microsoft Fabric?
A Fabric lakehouse combines the scalability of a data lake with the query capabilities of a data warehouse. It stores tables in Delta format on OneLake, keeps raw files alongside them, and automatically creates a read-only SQL analytics endpoint so analysts can query the tables with T-SQL. We design the lakehouse layers and folder structure as part of implementation. Our Microsoft Fabric lakehouse guide goes deeper.
What does Microsoft Fabric data engineering include?
Fabric data engineering covers lakehouses, Spark notebooks and jobs, and pipelines that ingest, clean and transform data into analytics-ready tables on OneLake. Our team builds these pipelines, data quality rules and lakehouse layers, and connects them to semantic models and Power BI. See our guide to Fabric data engineering or our data engineering services.