Pipelines & Dataflows Gen2 in Fabric — Why Ingestion Is the Hardest Part

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Introduction — Why Ingestion Is the Hardest Part of Analytics

Data ingestion is the foundation of every analytics system. Without reliable ingestion, everything collapses: pipelines break, dashboards fail, ML models drift, and business decisions become unreliable.

Fabric solves ingestion with two powerful tools:

  • Pipelines — enterprise‑grade orchestration
  • Dataflows Gen2 — low‑code transformation for business users

Together, they form the ingestion backbone of Fabric.

1. Pipelines — The Enterprise Ingestion Engine

Fabric Pipelines are built for enterprise‑grade orchestration.

Capabilities

  • Scheduled ingestion
  • Copy activities
  • Data movement
  • Parameterization
  • Error handling
  • Retry logic
  • Monitoring
  • Logging
  • Notifications

Why Pipelines Matter

  • They replace ADF for Fabric workloads
  • They integrate directly with OneLake
  • They support medallion architecture
  • They support shortcuts
  • They support Delta Lake

Pipelines are the backbone of Bronze ingestion.

2. Dataflows Gen2 — Low‑Code Transformation

Dataflows Gen2 allow business users to build transformations without writing code.

Capabilities

  • Power Query transformations
  • Direct write to OneLake
  • Delta Lake output
  • Scheduled refresh
  • Parameterization
  • Reusable logic

Why Dataflows Matter

  • Empower business users
  • Reduce engineering workload
  • Standardize transformations
  • Integrate with Lakehouses
  • Support medallion architecture

Dataflows Gen2 are perfect for Silver transformations.

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