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Fabric Notebooks

Last modified by Dimitri Rupp on 2026/06/11 09:30
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Fabric Notebooks

Information

What: Interactive coding environments for data exploration, transformation and analytics.
Use cases: Cleansing, enrichment, joins, aggregations, ML, automation.

Overview

Notebooks in Microsoft Fabric are interactive coding environments designed for advanced data exploration, transformation, and analytics. You can use notebooks to:

  • Clean and enrich data
  • Perform joins and aggregations
  • Build machine-learning models
  • Trigger downstream processes

Notebooks support multiple languages — Python, SQL, Spark — allowing users to write code, visualise data, and run complex logic all within a single interface.

When to use a notebook

Notebooks are especially useful when visual tools like Dataflows aren't flexible enough for custom logic, or when you need fine-grained control over execution. They also support scheduling and pipeline triggers, making them a powerful tool for automation and repeatable workflows.

ScenarioUse Notebook?
Quick, low-code ETL on tabular data❌ Use Dataflow Gen2 instead
Standard table-to-table movement❌ Use Data Pipeline instead
Custom logic / parsing / ML✅ Notebook
Mixed languages in one workflow✅ Notebook
Fine-grained scheduling + branching✅ Notebook (often called from a Pipeline)
flowchart TD
    Q[Need to process data?] --> A{Standard or custom?}
    A -->|Standard ETL| DF[Dataflow Gen2
Power Query]
    A -->|Standard table movement| DP[Data Pipeline]
    A -->|Custom logic / ML / parsing| NB[Notebook]
    NB --> NBL[See: List of notebooks in use]

    classDef opt fill:#e3f2fd,stroke:#1976d2,stroke-width:1px
    classDef nb fill:#fff3cd,stroke:#b85c00,stroke-width:1px
    class DF,DP opt
    class NB,NBL nb

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Status: Migriert — Team-Review ausstehend · Owner: (festlegen) · Letzter Review: 2026-06-11