NeenOpal - Microsoft Fabric Data Platform Implementation

This professional service delivers a complete implementation of Microsoft Fabric, covering data ingestion, modeling, governance, and analytics in a unified, production-ready architecture.

The engagement is designed for organizations adopting Microsoft Fabric as their primary analytics platform or consolidating fragmented data and reporting systems into a single Fabric-based solution.

NeenOpal implements Fabric-native patterns across OneLake, Lakehouse architecture, semantic models, and Power BI to ensure scalable, governed, and reliable analytics aligned with Microsoft best practices.

What this service includes:

1. Fabric environment & foundation

-> Microsoft Fabric workspace and environment setup

-> Capacity and access planning aligned to analytics workloads

-> OneLake-based data foundation

2. Data ingestion & integration

-> Data ingestion using Fabric Pipelines and/or Dataflows Gen2

-> Integration of structured data sources into Fabric

-> Batch and near-real-time ingestion patterns where applicable

3. Data modeling & architecture

-> Fabric Lakehouse implementation

-> Medallion architecture (Bronze, Silver, Gold)

-> Data transformation and standardization

4. Analytics & reporting

-> Semantic model creation optimized for Power BI on Fabric

-> Role-based Power BI dashboards and reports

-> Performance tuning and validation

5. Governance & handover

-> Role-based access control and workspace governance

-> Data validation and refresh monitoring

-> Documentation and knowledge transfer

Outcomes:

-> A production-ready Microsoft Fabric analytics platform

-> Unified, governed data stored in OneLake

-> Trusted Power BI reporting for business users

-> A scalable foundation for future analytics and extensions

This offering enables customers to confidently adopt Microsoft Fabric end-to-end, reducing implementation risk while accelerating time to value.