Fabric Data Factory documentation

Fabric Data Factory provides cloud-scale data movement and data transformation services for complex ETL scenarios.

What is Data Factory?

Overview

• What is Data Factory?
• Data Factory demo
• What's new in Data Factory?
• What can I connect to?
• Pricing in Data Factory
• Migrate to Fabric Data Factory
• Compare Azure Data Factory to Fabric Data Factory

Training

• Data Factory training

Migrate to Fabric Data Factory

How-To Guide

• Plan your migration
• Migrate pipelines with the PowerShell upgrade tool
• Bring your Azure Data Factory into Fabric

Overview

• Compare Azure Data Factory to Fabric Data Factory
• Connector continuity
• Migration best practices

Connect to your data

Get started

• Pipeline connectors
• Dataflow Gen2 connectors

Connect on-premises from the cloud

How-To Guide

• How to access on-premises data
• What is an on-premises data gateway?
• What is a virtual network data gateway?

Transform data

How-To Guide

• Create your first dataflow
• Connect your source to your dataflow
• Save a draft of your dataflow
• Enrich data with ML model during ingestion

Move data

Get started

• Create your first copy job

How-To Guide

• Choose a data movement strategy
• Copy job
• Change data capture
• Copy activity in pipelines

Tutorial

• Move data with copy assistant
• Create an end-to-end data integration scenario

Manage your pipelines

Concept

• Schedule pipelines
• Orchestrate with Apache Airflow

How-To Guide

• Start a pipeline from a storage event
• Monitor your pipelines

Tutorial

• Run Fabric pipelines with Apache Airflow