Redefining data management for organisations with Microsoft Fabric
August 1st, 2024Fabric's SaaS architecture simplifies infrastructure complexities. Activated via the Power BI Admin Portal, the platform ensures swift deployment, scalability, and automatic updates — allowing organisations to focus on actionable insights rather than operational details.
Structuring for success with domain orientation
A Fabric domain is a logical grouping of workspaces. They present a convenient way to manage access and permissions to groups of resources — for example, a domain for Sales and another for Marketing. Subdomains further isolate management concerns, allowing tailored oversight for specific functions. The domain ownership principle mandates domain teams to take responsibility for their data, moving analytical and operational data ownership away from the central data team.
Collaborative workspaces
The collaborative workspaces within Microsoft Fabric provide a unified environment for data ingestion, machine learning, real-time analytics, and reporting. Managed by regions and capacities, they offer precise control over resource allocation and compliance with regional data regulations. The role-based access control system — encompassing admin, member, contributor, and viewer roles — ensures data access is secure and appropriately managed.
OneLake: unified storage at the core
OneLake, the backbone of Microsoft Fabric, unifies data management with a centralised, scalable framework built on Azure Data Lake Storage Gen2. By integrating workspaces, lakehouses, and warehouses, it eliminates silos and simplifies governance, security, and compliance. With lightweight data virtualisation, OneLake enables real-time access without duplication, enhancing operational efficiency across teams and domains.
Security model
The security model in Microsoft Fabric is multi-layered: platform-level authentication via Microsoft Entra ID with MFA and conditional access, domain-specific configurations for tailored security settings, workspace-level controls for resource management, and item-level access for granular data protection.
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