Texas A&M UniversityWork In Progress

Tagged

fabric

18 documents tagged with "fabric"

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AggieDB

AggieDB — TAMU's unified data architecture standard for enterprise analytics on Microsoft Fabric, applicable across all campus workloads.

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Capacity Planning & Cost

Start at F2, scale incrementally based on CU data, lock in reserved pricing when stable — the complete Fabric capacity sizing and cost attribution guide.

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Data Governance Playbook

Access control, RLS, sensitivity labels, endorsement, and executive visibility — the complete governance model for multi-group Fabric deployments.

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Database Decision Matrix

Choosing between Lakehouse, Data Warehouse, Fabric SQL Database, and Fabric Cosmos DB based on workload, transaction patterns, and capacity impact.

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Fabric Domains

How Fabric Domains map business ownership to workspace organization — domain design, subdomain strategy, role assignments, delegated governance, and audit schema for multi-group deployments.

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Gateways, Ingestion & Mirroring

Getting data into Fabric from on-prem, cloud, and hybrid sources — gateway sizing, Fabric Mirroring, ingestion strategy, and avoiding the shared gateway bottleneck.

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Fabric Git Integration & Sync

How Fabric Git sync works — what gets synced, what doesn't, conflict resolution, service principal setup, and the GitHub → Fabric → GitHub loop.

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GitHub Actions CI/CD Security

Securing the GitHub Actions to Microsoft Fabric deployment pipeline using GitHub Enterprise larger runners with Azure VNet injection.

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Microsoft Fabric

What is Microsoft Fabric, how TAMU uses it, capacity tiers, cost analysis, governance guardrails, alerting with Data Activator, and the AI payoff of unified standards.

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Multi-Group Architecture

Architecture options for onboarding multiple groups to a shared Microsoft Fabric platform — workspace topology, capacity isolation, and data layer design.

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Shared Data Layer

Central lakehouse architecture for multi-group Fabric deployments — ingest once, share everywhere, eliminate data duplication.

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Standardized Reporting Methodology

One method for building, governing, and extending Power BI reports at Texas A&M — from visual identity to AI readiness.

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Navigate the Workspace

A guided tour of a Fabric workspace — where data lives, what a semantic model is, how reports connect to lakehouses, and what all the icons mean.

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Power BI & Fabric

Documentation for Power BI reporting and Microsoft Fabric data platform at Texas A&M University.

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Aggie BI Learning Path

A structured learning journey from first login to mastery — five levels covering tools, techniques, architecture, and advanced practice.

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Data Pipeline

End-to-end data flow architecture from Microsoft Graph API to Power BI reports.

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Deployment

CI/CD pipeline and Fabric deployment procedures for M365 Usage Reports.

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Tableau → Power BI & Fabric Migration

Feature-by-feature comparison of Tableau vs. Microsoft Power BI and Fabric for teams evaluating or planning a migration at Texas A&M University.