Plan your integration
Choose which data sources to integrate first and sequence your ingestion pipelines before you start building. Part of the Deploy tab.
Learn about data pipelines
Explore the three main components of data pipelines in CDF: integration, transformation, and contextualization.
Understand data extraction
Learn how extractors connect to source systems and stream data to CDF with minimal transformation.
Explore data transformation
Discover how to reshape, enrich, and analyze data quality using built-in transformation tools.
Discover contextualization methods
Connect and enrich industrial data by matching entities, parsing documents, and building relationships.
Integrate and connect data
Configure data extractors
Extract data from industrial systems, enterprise applications, and cloud sources using prebuilt or custom extractors.
Enable bidirectional connectors
Integrate simulators, ETL tools, and enterprise systems with bidirectional data synchronization.
Transform and shape data
Map, reshape, and enrich data from staging area to fit your target data models.
Set up Fabric OneLake integration
Query Microsoft Fabric OneLake Delta tables without staging a full copy in CDF RAW using Transformations.
Contextualize with machine learning
Match entities, create interactive diagrams, and extract structured data from documents.
Set up and monitor Integrations
Create on-premises integrations, complete the connection, and monitor tasks in Integrations (public preview).
Monitor extraction pipelines
Register, configure, and monitor extraction pipelines with automatic failure notifications.
Build custom solutions
Develop custom extractors and connectors using Python or .NET utilities for specialized requirements.