ETL Process in Microsoft Fabric
ETL (Extract, Transform, Load) is a critical data integration process that forms the foundation of modern data engineering. In Microsoft Fabric, this process is streamlined and enhanced with powerful tools and capabilities.
Microsoft Fabric provides a comprehensive data engineering solution that includes:
- Data ingestion from various sources
- Data transformation using Spark or Data Flow
- Data loading into lakehouse or warehouse
- Real-time data processing capabilities
- Built-in monitoring and optimization tools
Extract: Connect to various data sources including databases, files, APIs, and streaming data.
Transform: Use Spark notebooks or visual Data Flow to clean, enrich, and prepare your data.
Load: Store processed data in scalable lakehouses or warehouses for analytics and reporting.
Explore the official Microsoft Fabric documentation for detailed tutorials and best practices: Microsoft Fabric ETL Tutorial