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Microsoft Fabric is the University of Arkansas enterprise data and analytics platform. It provides a unified environment for data engineering, data integration, data science, real-time analytics, business intelligence, and AI-powered analytics.
Fabric brings together capabilities that traditionally required multiple tools and services into a single platform, making it easier to collect, manage, analyze, and share data across instructional, research, and business activities.
Faculty and staff using Fabric can develop data pipelines, prepare and transform data, build reports and dashboards, perform advanced analytics, and support data-driven decision-making using a common platform.
Who Uses Fabric?
Fabric supports a variety of university use cases, including:
- Data integration and transformation
- Business intelligence and reporting
- Research data processing and analytics
- Data engineering and automation
- Machine learning and AI workloads
- Enterprise data platform services
Key Concepts
The following terms appear frequently throughout Fabric documentation:
- Workspace – A collaborative area used to organize Fabric content and resources.
- Lakehouse – A storage architecture that combines characteristics of data lakes and data warehouses.
- Pipeline – A workflow used to orchestrate and automate data movement and processing activities.
- Notebook – An interactive environment used for data engineering, analytics, and automation using code.
- Semantic Model – A curated data model used for reporting and analytics.
- Capacity – The compute resources that power Fabric workloads.
- Workspace Identity – A managed identity associated with a Fabric Workspace that can be granted access to Azure resources.
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