Fabric for power users
Last modified by Dimitri Rupp on 2026/06/11 09:30
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Fabric for Power Users — Technical Documentation
Choose your learning path
| Topic | What you will learn | Jump in |
|---|---|---|
| 🏛️ Basics — Understanding architecture | Dive into Microsoft Fabric, a unified analytics platform. This guide covers the basic architecture of Fabric in SPL. | → Microsoft Fabric Datenarchitektur im SPL |
| 🗄️ Storage — Data in the lake | Explore the Lakehouses: source systems, schemas, tables, and views. | → Fabric Lakehouse Hub |
| 🔄 Orchestration — Data Pipelines | Learn how data is ingested and moved using Pipelines in Fabric. | → Fabric Data Pipelines |
| 🔄 Orchestration — Dataflows | Learn about Gen2 Dataflows and the use-cases in telefabric capacity. | → Fabric Dataflows |
| 📓 Orchestration — Notebooks | Usage of notebooks in telefabric: data transformation and movement using PySpark, Python, SparkSQL, and T-SQL. | → Fabric Notebooks |
| 📤 Consumption — Get data from Fabric | How data can be consumed by end users or downstream systems. | → Get data from Lakehouse |
| 🌐 Security — Sharing data outside SPL | Ways data is provided to external users and third-party applications — security layers and access restrictions in place. | → Fabric external data sharing |
| 🔐 Security & Governance | Governance and compliance aspects of data in Fabric: security roles, access controls, and data governance in telefabric. | → Fabric security for admins |
Recommended reading order
For a structured walk-through, we recommend the following order:
flowchart LR
A[1. Basics
Architecture] --> B[2. Storage
Lakehouses]
B --> C[3. Orchestration
Pipelines / Dataflows / Notebooks]
C --> D[4. Consumption
Get data from Fabric]
D --> E[5. Sharing
External data sharing]
E --> F[6. Security
Governance]
classDef step fill:#e3f2fd,stroke:#1976d2,stroke-width:1px
class A,B,C,D,E,F step
This order mirrors the data-flow direction through the Medallion-Architecture: from raw ingestion (Bronze) through transformation (Silver) to analytical consumption (Gold) — finally shared, secured and governed.
Audience and prerequisites
| Audience | Recommended skill level |
|---|---|
| 🆕 New to Fabric | Start with Basics and Storage. The Lakehouse Hub explains the Bronze / Silver / Gold architecture from scratch. |
| ⚙️ Data Engineer / Developer | Jump to Orchestration — Pipelines, Dataflows, Notebooks — for the day-to-day transformation work. |
| 📊 Power BI Power User | Focus on Consumption (Get data from Fabric) and Sharing for end-user reports and SQL-endpoint access. |
| 🔐 Admin / Governance Lead | Go directly to Security & Governance and Sharing data outside SPL. |
Related areas
- Fabric (Hub) — Top-level Fabric area with all subpages
- BI Community Doku — Power-BI-Konzepte (DAX, Measures, Datenmodell, ...)
- Externe User in Power BI — End-User-Onboarding fuer externe Partner
Verwandte Themen
Kuratiert — kann direkt im Editor ergänzt werden://
Automatisch vorgeschlagen über gemeinsame Tags (fabric, anleitung):
- Fabric external data sharing
- Fabric Data Pipelines
- Fabric Dataflows
- Fabric Excel Ingestion
- FAQ
- List of notebooks in use
Status: Migriert — Team-Review ausstehend · Owner: (festlegen) · Letzter Review: 2026-06-11