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Microsoft Fabric

As explained in Architecting an Apache Iceberg Lakehouse

Microsoft Fabric is an integrated cloud analytics platform providing data integration, engineering, warehousing, and business-intelligence capabilities.

Microsoft Fabric is a SaaS analytics platform built around OneLake, a unified logical storage layer for data engineering, data science, real-time analytics, and business intelligence. OneLake centralizes the Fabric ecosystem while supporting open table formats and links to external storage. section 5.4.5 section 6.6

Architectural capabilities include:

  • Interoperate with Apache Iceberg and Delta Lake, allowing external engines and tools to work with Fabric-managed data. section 5.4.5
  • Use shortcuts to existing ADLS Gen2 or AWS S3 storage without physically moving data, supporting hybrid and multicloud designs. section 5.4.5
  • Support batch, streaming, micro-batch, and hybrid ingestion, with cloud-native deployment that can simplify governance. section 6.6

How Architecting an Apache Iceberg Lakehouse covers it

How deep it goes
Defines OneLake, interoperability, shortcuts, and ingestion alignment but stops short of detailed Fabric configuration.
Examples
Uses external-storage shortcuts and batch, streaming, micro-batch, and hybrid ingestion as concrete architectural examples.
What you can do after
Evaluate Fabric alongside other ingestion approaches against latency, throughput, schema variability, governance, and team-capacity requirements.
How it connects
Connects OneLake with Apache Iceberg, Delta Lake, ADLS Gen2, AWS S3, data engineering, and business intelligence.
Cover of Architecting an Apache Iceberg Lakehouse
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Related concepts

This explainer was generated by Manning's knowledge graph from the text of Architecting an Apache Iceberg Lakehouse. The section links point to the parts of the book it draws on.