Fabric Implementation Guide · Part 10 of 10

Data Integration & Ingestion Patterns

Select optimal integration patterns across OneLake Shortcuts, Mirroring, Dataflows Gen2, Data Factory Pipelines, and Eventstream real-time ingestion.

Target Audience: Integration Architects, ETL Developers, and Platform Engineers
Estimated Read Time: 11 min

01Integration Pattern Selection Matrix

Choose the right integration method based on source characteristics and latency goals: use OneLake Shortcuts for zero-copy access to existing ADLS Gen2 / S3 data; Fabric Mirroring for near-real-time CDC replication from Cosmos DB, Azure SQL, or Snowflake; Dataflows Gen2 for low-code transformations; and Data Factory Pipelines for high-scale batch ETL.

Implementation & Verification Checklist

  • Use OneLake Shortcuts when source data is already in Delta/Parquet format in ADLS Gen2 / S3
  • Use Fabric Mirroring for low-latency zero-ETL replication from relational databases
  • Use Data Factory Pipelines for complex orchestration, dynamic parameter loops, and Spark notebook execution
  • Use Eventstream for sub-second IoT telemetry and real-time streaming analytics

02Idempotency, Schema Drift & Fault Tolerance

Design ingestion pipelines to be fully idempotent: re-running a pipeline execution must yield identical results without duplicate rows. Implement automated schema-drift detection, watermarking, and quarantine error tables for corrupt or malformed source records.

Implementation & Verification Checklist

  • Enforce merge/upsert patterns with unique business keys during Delta table writes
  • Maintain explicit watermark timestamps or version tokens for incremental ingestion
  • Route malformed or invalid records to quarantine tables with automated alert notifications
  • Keep connection credentials and tokens securely in Azure Key Vault

03SAP & Enterprise Data Integration (Zero-ETL, Mirroring & SAP Datasphere)

Microsoft and SAP have deepened their strategic partnership to accelerate business insights and AI innovation. Through SAP Business Data Cloud Connect for Microsoft Fabric, enterprises achieve bi-directional, zero-copy sharing of semantically rich SAP data products with Microsoft OneLake. Leverage Mirroring for SAP Datasphere for near-real-time CDC replication without manual ETL, and Copy Jobs for SAP Datasphere for secure, high-throughput enterprise data movement into Fabric IQ AI agents and Power BI.

Implementation & Verification Checklist

  • Enable SAP Business Data Cloud Connect for bi-directional zero-copy sharing of SAP data products in OneLake
  • Configure Mirroring for SAP Datasphere to eliminate custom extraction pipelines
  • Combine SAP ERP business context with Fabric IQ and Microsoft Copilot / SAP Joule AI agents
  • Preserve SAP semantic business model logic, currency conversions, and role-based data security