A Unified Platform for Data Mastery
Data Engineering
A unified solution for ingesting, transforming, and managing large datasets with Spark and SQL. Bring Lakehouse, ETL pipelines, and notebooks together seamlessly in one workspace on Fabric’s OneLake.
Explore Key Features
Data Engineering Highlights
Unified Experience
Microsoft Fabric combines Data Factory, Data Engineering (Spark), Data Science, and Real-Time Analytics into one interface.
Lakehouse Architecture
Combines the best of data lakes and data warehouses, using Delta Lake format to support structured and unstructured data.
Data Ingestion & Transformation
Uses Data Factory pipelines (170+ connectors) and Dataflows Gen2 to move and transform data.
AI Integration
Features like Copilot help with code generation for data engineering tasks.
OneLake Storage
A unified, logical data lake (SaaS) for the entire organization, eliminating data silos and simplifying data access.
Spark Components
Provides Apache Spark for processing large datasets, including notebooks, job definitions, and environments.
Key Capabilities
Supports batch/streaming jobs, medallion architecture (bronze/silver/gold), and CI/CD with deployment pipelines.