Ingest data with Microsoft Fabric

  • Learning Path
  • 4 Modules

At a glance

Learn to ingest and process data in Microsoft Fabric using Dataflows Gen2, pipelines, Apache Spark, and KQL databases.

Prerequisites

Before starting this learning path, familiarity with the Microsoft Fabric interface and core concepts is recommended.

Modules in this learning path

Ingest Data with Dataflows Gen2 in Microsoft Fabric

Data ingestion is crucial in analytics. Microsoft Fabric's Data Factory offers Dataflows for visually creating multi-step data ingestion and transformation using Power Query Online.

Orchestrate processes and data movement with Microsoft Fabric

Microsoft Fabric includes Data Factory capabilities, including the ability to create pipelines that orchestrate data ingestion and transformation tasks.

Use Apache Spark in Microsoft Fabric

Apache Spark is a core technology for large-scale data analytics. Microsoft Fabric provides support for Spark clusters, enabling you to analyze and process data in a Lakehouse at scale.

Work with real-time data in an Eventhouse in Microsoft Fabric

An eventhouse in Microsoft Fabric is a container that houses one or more KQL databases for storing and analyzing real-time data.

Start