To help non-profit organizations reduce overhead and accelerate their time to insight, Chris von Rabenau, Cloud Architect on Redapt's Advanced Analytics team, recently hosted an in-depth workshop detailing Microsoft Fabric and how it consolidates data ingestion, engineering, analytics, and governance into a unified ecosystem. The strategies discussed serve as a blueprint for leveraging this software-as-a-service (SaaS) platform to eliminate underlying infrastructure management—such as compute sizing and database administration—allowing organizations to focus entirely on extracting insights from their data.
The Medallion Architecture Foundation
To structure data effectively within Fabric, the recommended best practice is the Medallion architecture. This approach separates data into three distinct functional layers:
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Bronze Layer: This serves as the raw, system-of-record layer, storing data exactly as it landed to protect against risk and preserve the source of truth.
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Silver Layer: In this layer, data is cleaned, standardized, and enriched. Processes here remove bad records and resolve data quality issues to create a reliable organizational resource.
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Gold Layer: This final layer curates the data specifically for business-ready dashboards and key performance indicators (KPIs) aligned with strategic outcomes.
OneLake and Flexible Storage Options
Fabric is built on OneLake, which functions as a single, foundational storage layer for the entire organizational tenant—often described as the "OneDrive for data". Within OneLake, organizations utilize three primary storage engines:
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Lakehouses: Primarily used for storing unstructured data and executing PySpark workloads.
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Warehouses: Designed for standard T-SQL processing, utilizing stored procedures and views.
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Eventhouses: Built to handle and query real-time streaming data using the Kusto Query Language (KQL).
Fabric also simplifies external data integration through shortcuts and mirroring. Shortcuts allow users to drill through to external data sources—such as Amazon S3, Google Cloud Storage, or Dataverse, without copying or replicating the data into OneLake. Mirroring provides near real-time, turnkey replication from databases like Snowflake or Azure SQL directly into Fabric, minimizing latency and eliminating complex change-data-capture engineering.
Advanced Analytics and AI Integration
Fabric enhances Power BI reporting through Direct Lake mode, which bypasses traditional data imports and direct query bottlenecks. By maintaining a direct cache of the semantic model, Direct Lake allows reports to refresh in seconds rather than hours, heavily reducing notebook sizes and preventing data duplication.
Additionally, Fabric integrates Copilot and Fabric IQ to bring artificial intelligence directly into the engineering workflow.
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Developers can use Copilot to generate complete ingestion pipelines, write DAX measures, or translate and explain complex PySpark notebooks using natural language.
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Organizations can build custom ontologies that map specific business terminology (e.g., linking "client" or "buyer" to the "customer" table) so that AI data agents return accurate results when end-users ask natural language questions.
Governance, Security, and Licensing
Security in Fabric is centrally managed through Microsoft Entra ID security groups and workspace-level role-based access controls, categorized into Admin, Member, Contributor, and Viewer roles. For robust compliance, Fabric integrates with Microsoft Purview to automatically map data lineage and apply data loss prevention (DLP) rules. For example, if a user attempts to export highly confidential data from Power BI without the proper permissions, the download is automatically blocked.
To deploy Microsoft Fabric, organizations must meet specific licensing prerequisites:
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An enabled Microsoft 365 tenant and a Power BI Pro or Premium user license to initialize the environment.
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A dedicated Fabric capacity (starting with a 60-day trial or an F-SKU).
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To grant view-only access to end-users without requiring individual Power BI Pro licenses, the organization must operate on an F64 capacity SKU or higher.
Let's Build Your Pilot Workflow
Transitioning to a modern data platform requires strategic planning and right-sized infrastructure. Redapt brings over 20 years of hardware and data center experience, alongside more than 10 years of specialized cloud expertise, to help organizations navigate this shift.
Schedule a one-on-one pilot envisioning session with Chris von Rabenau, Cloud Architect on Redapt's Advanced Analytics team. Together, we will review your current data state, identify high-priority use cases, determine the appropriate Fabric capacity sizing for your workload, and define the scope and success criteria for your pilot deployment.
