Microsoft Fabric Consulting, Implementation & Migration Services
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
40-60%
Overall cost savings
379%
Three-year ROI
90%
Faster data access
50%
Quicker insight cycles
60%
Team productivity growth
Complete Microsoft Fabric Consulting and Integration 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.
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 focused on analytics, reporting, and AI enablement. As trusted Microsoft Fabric migration services partners, we evaluate your current setup and 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
Enhancing Data Analytics and BI Reporting for Allen Distribution
Impact:
- 42% boost in decision-making precision
- 54% enhancement in data accuracy
- 61% growth in data-driven decisions
100% Manual Data Eliminated in Insurance Analytics
Impact:
- 40% Faster Board & Executive Reporting
- 4 Core Systems Unified into Single Platform
- 100% Elimination of Manual Data Reconciliation
74% Faster Retail Reporting via SQL to Microsoft Fabric Migration
Impact:
- 74% Faster Reporting Cycles
- 65% Increase in Reporting Stability
- 72% Faster Access to Current Metrics
Getting Started
Step 1
Free Consultation
Talk to our experts about your data challenges. We’ll assess your current setup and identify opportunities.
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)
01What 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.
02How does Kanerika help businesses adopt Microsoft Fabric?
Standard enterprise deployments take 4–8 weeks. This includes workspace setup, cluster configuration, governance implementation, and integration with existing data sources. Kanerika’s accelerators reduce timelines while maintaining compliance.
03Why should companies migrate to Microsoft Fabric from legacy systems?
Databricks runs on Azure, AWS, and Google Cloud Platform. We help you choose the right cloud based on your existing infrastructure, security requirements, and cost objectives.
04What makes Kanerika a trusted Microsoft Fabric consulting partner?
Databricks combines data lake flexibility with warehouse performance. It handles structured and unstructured data, supports streaming, and integrates ML natively. Traditional warehouses are limited to structured data and batch processing.
05How long does a typical Microsoft Fabric implementation take?
Yes. Databricks connects with Power BI, Tableau, Looker, and other BI platforms. We configure secure connections and optimize queries for fast dashboard performance.
06What systems can be migrated to Microsoft Fabric?
Databricks scales from gigabytes to petabytes. Its distributed Spark architecture handles massive datasets with auto-scaling clusters that adjust compute resources based on workload demands.
07Does Microsoft Fabric work with multi-cloud environments?
A lakehouse combines data lake storage with warehouse reliability. Delta Lake adds ACID transactions, schema enforcement, and versioning. This eliminates data quality issues common in traditional lakes.
08What is OneLake in Microsoft Fabric?
Databricks supports Python, SQL, Scala, R, and Java. Teams can use their preferred language within notebooks for data engineering, analytics, and machine learning workflows.
09How does Kanerika's Azure to Fabric migration work?
No. Databricks is fully cloud-based and serverless. You only need a cloud account (Azure, AWS, or GCP). Infrastructure provisioning, scaling, and maintenance are automated.
10What does SSIS to Fabric migration involve?
Most enterprises see measurable ROI within 3–6 months. Benefits include faster query performance, reduced infrastructure costs, shorter ETL runtimes, and improved data accuracy.
11What 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.
12What should I look for in a Microsoft Fabric consulting company?
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.
13Is 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.
14What 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.
15What 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.
16What is Microsoft Fabric IQ?
Microsoft Fabric IQ is a semantic intelligence layer built into Microsoft Fabric that unifies data, ontology, graph relationships, and AI agents around one shared business context. It combines semantic models, business ontology, and Graph in Fabric so Copilot and custom AI agents ground their answers in your actual metrics, entities, and business rules.
17Is Microsoft Fabric IQ generally available?
Fabric IQ reached general availability at Microsoft Build 2026, including Graph and Operations Agents. Ontology remains in preview, with Planning reaching general availability later the same month. Organizations already running Microsoft Fabric can start adopting semantic models and Graph today, with ontology-based agent grounding rolling out in phases.
18How 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.
