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Fabric Data Engineering

Run enterprise grade Spark jobs on all organizational data. Turn raw data into analytics—and AI-ready assets in OneLake.
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OVERVIEW

Build and operate reliable data pipelines at scale

  • Easily create a lakehouse with managed storage, folders, and Delta tables in OneLake.
  • Ingest and transform large volumes of structured and unstructured data, using Fabric’s scalable Spark engine.
  • Clean, join, and model data using PySpark or Spark SQL, and write ACID-compliant Delta tables.
  • Run TSQL, create Power BI reports, and build AI applications—all directly on your data. SQL
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FEATURES

Explore demo videos

Learn how these Data Engineering capabilities help teams move faster, simplify complex data work, and unlock insights others can use.
Run advanced enterprise analytics at scale
Experience integrated analytics
Accelerate insights with materialized lake views
Move from raw data to ML-ready with Copilot
See how Fabric provides the most advanced engines for enterprise analytics.
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Pay only for Spark jobs you run

Enable Autoscale Billing to run Spark jobs on serverless, pay-as-you-go compute—and pay only for job runtime and scale independently of base Fabric capacity.
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CUSTOMER STORIES

Explore why organizations choose Fabric

  1. LSEG logo
  2. Apollo logo
  3. OBOS logo
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LSEG logo
Fabric gives us a self-contained ecosystem…There’s no duplication of data, no multiple copies. Data lineage becomes better, data trust becomes better, and data quality becomes better.
Srimanth Rudraraju, Group Director, Engineering, Data Platforms, LSEG
80,000
Files processed daily
50%
Usage growth
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Apollo logo
Previously, even with four hours of latency, we still faced inconsistency between source and destination. Now data flows from source to Fabric in two seconds and it is 100% accurate.
Aazath Raj Paramasivam, General Manager, Apollo Hospitals
25%
Drop in manual work
60%
Increase in order conversions
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OBOS logo
We transitioned from Azure Synapse to Microsoft Fabric seamlessly, migrating 600+ notebooks and pipelines while consolidating 4,500+ data objects into 87 Fabric lakehouses. This enhanced overall data platform efficiency and reduced cost by 3.2x, enabling over 450 OBOS users to leverage Fabric for faster, deeper insights.
Dag Erlend, Delivery Manager, OBOS
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Resources

Learn more about Fabric Data Engineering

Explore more about Fabric Data Engineering through curated blogs, hands-on tutorials, and documentation. Learn best practices, discover new capabilities, and get practical guidance to build and optimize with confidence.
Data Engineering documentation in Microsoft Fabric.
Documentation

Read Fabric Data Engineering documentation

Dive deeper into technical details and see how Fabric Data Engineering works.
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Blog

Get the latest updates in the Fabric blog

Discover the latest features and announcements in Fabric data engineering.
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Demo

Watch Fabric Data Engineering demos

See the latest demos from the Product and Engineering teams.
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Next steps

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