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Microsoft Fabric Consulting, Implementation & Migration Services 

Kanerika helps enterprises use Microsoft Fabric to build strong AI –powered analytics foundations. Our experts guide you through setup, design, data pipelines, lakehouse models, security, real-time analytics, and AI-powered reporting.

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 Services for Modern Enterprises

Kanerika provides end-to-end Microsoft Fabric consulting, setup, migration, engineering, and support services. We help you improve analytics, enhance AI output, reduce delays, and simplify complex reporting systems.

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 Migration Services

Kanerika offers specialized migration paths focused on analytics, reporting, and AI enablement. We ensure clean, safe transitions with minimal downtime.

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.

Why Enterprises Choose Kanerika for Microsoft Fabric

Proven Fabric Expertise

Strong experience in Lakehouse architecture, pipelines, governance, and AI-powered 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 Implementor

One of the first companies worldwide to deploy Microsoft Fabric in production environments.

Microsoft Fabric Featured Partner

Officially listed as a featured partner for high-quality, scalable Fabric implementations.

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

Transforming Retail Reporting and Analytics with SQL to Microsoft Fabric Migration 

Impact:
  • 74% Faster Reporting Cycles
  • 65% Increase in Reporting Stability
  • 72% Faster Access to Current Metrics

Elevating Inventory Analysis for Modern Manufacturing with Karl 

Impact:
  • 30% Faster Inventory Reconciliation
  • 50% Reduction in Time-to-Insight
  • 10+ Recurring Variance Patterns Automatically Detected

AI-Powered Dynamic Pricing for Luxury Product Lines 

Impact:
  • 24% Increase in Profit Margins on Top SKUs
  • 39% Faster Price Change Cycle Time
  • 100% Auditability of Pricing Decisions

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

Once you’re confident, we execute the complete solution with minimal disruption to your operations.

Get Started Today

Boost Your Digital Transformation With Our Expert Guidance

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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.

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.

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.

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.

Yes. Databricks connects with Power BI, Tableau, Looker, and other BI platforms. We configure secure connections and optimize queries for fast dashboard performance.

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.

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.

Databricks supports Python, SQL, Scala, R, and Java. Teams can use their preferred language within notebooks for data engineering, analytics, and machine learning workflows.

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.

Most enterprises see measurable ROI within 3–6 months. Benefits include faster query performance, reduced infrastructure costs, shorter ETL runtimes, and improved data accuracy.

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