Data Migration to Microsoft Fabric: 2-8 Weeks Assessment and Implementation

Microsoft Fabric brings everything together—data engineering, integration, storage, and analytics—into one unified platform, making it ready for AI, machine learning, and real-time insights. As a Microsoft partner for over 20 years, DataArt has the expertise to help modernize and migrate your data to Microsoft Fabric, enabling smarter decisions and better results.

Common Challenges Addressed:
We address the most common pain points businesses face when modernizing their data platforms by leveraging Microsoft Fabric’s unified, cloud-native capabilities. Our migration approach helps organizations reduce costs, break down data silos, and prepare for scalable AI adoption—while ensuring regulatory compliance and operational efficiency.

• Rising Cost Pressures: Optimizing performance and resource allocation through scalable cloud infrastructure and Microsoft Fabric-native cost control features.
• Integration Complexities: Accelerating unification with prebuilt integration patterns and flexible data pipelines that minimize disruption to existing systems.
• Information Silos: Enabling cross-functional collaboration with a single, shared data foundation powered by Microsoft Fabric’s OneLake architecture.
• Regulatory Uncertainty: Supporting governance and compliance with built-in security, data lineage, and role-based access controls.
• AI Implementation Gaps: Centralizing and structuring data to fuel AI and machine learning workloads through native compatibility with Azure OpenAI and other services.

DataArt's Services for Microsoft Fabric Data Migration:

• Migration readiness assessment and planning
• Product-thinking / Requirements analysis / Scope and stages definition​
• Data modeling and lakehouse design​
• Code and query migration / Adaptation or refactoring​
• Performance optimization​
• Testing and validation​
• Deployment​ and post-migration support

Steps & Deliverables:

Phase 1: Discovery & Planning (2–4 weeks)

Deliverables:

• Use Case Definition Document: Clearly defined business use case, source systems, success criteria, and data domain in scope. (Format: PDF / Confluence)
• Source System Inventory: List of relevant source tables, objects, and APIs involved in the selected use case. (Format: Excel / Confluence)
• Current Architecture Overview: Visual mapping of data flows from source to existing reporting layer. (Format: Visio / Lucidchart)
• Target Microsoft Fabric Architecture: Logical Microsoft Fabric lakehouse architecture with Workspaces, Lakehouses, Domains, and Security Models. (Format: Diagram + Confluence)
• Migration Scope & Timeline: Clear outline of tasks, responsibilities, and migration steps for the POC use case. (Format: Gantt Chart / Confluence)
• Risk Register: Identified risks, mitigation proposals, and data quality blockers. (Format: Excel / Confluence)

Phase 2: POC Implementation (4–8 weeks)

Deliverables:

• Microsoft Fabric Workspace Setup: Workspace, Lakehouse, and Pipeline structures created in Microsoft Fabric (Format: Live Environment + Screenshot Inventory)
• Source to Bronze Ingestion Pipeline: Working data pipeline from at least one real source (SQL, API, or files) into OneLake Bronze layer. (Format: Fabric Notebook or Dataflow + Confluence pipeline doc)
• Bronze to Silver Transformation: Transformation logic implemented via PySpark or T-SQL Notebook from raw to cleaned tables. (Format: Fabric Notebook + Git repo + Mapping Sheet)
• Silver to Gold Reporting View (Optional): One or more curated views or tables for reporting (if included in scope). (Format: SQL View + Data Dictionary)
• Sample Power BI Report: Simple Power BI dashboard or report showing end-to-end working use case (optional). (Format:.pbix file + demo video)
• Performance Snapshot: Summary of data volume, ingestion time, and query speed (before/after if applicable). (Format: Excel / PDF)

Phase 3: Post-POC Wrap-Up (included in weeks 6–8)

Deliverables:

• POC Summary Report: What was built, lessons learned, performance observed, open items. (Format: PDF / Confluence)
• Code Repository Access: Full export of Notebooks, SQLs, and pipeline configs. (Format: GitHub / DevOps Repo)
• Operational Runbook: Documentation on how to trigger/monitor pipelines, reprocess, troubleshoot. (Format: Confluence Page)
• Knowledge Transfer Session: Live demo + walkthrough of implemented solution. (Format: Online session + recording)
• Next Steps Proposal: Outline of how to scale the POC to production or expand scope. (Format: PDF Slide Deck)
The pricing and timelines will depend on the initial requirements and the scope of work.