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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.

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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.
Last modified on August 26, 2026