Working with dataflows

When working with Apache NiFi dataflows, you have several options to make them more portable, flexible, or powerful. These instructions walk you through the various concepts and options associated with optimizing your dataflows.

Tuning your dataflow🔗

Describes the concepts involved in and recommendations for tuning your dataflow.

Using Parameter Providers🔗

Provides step by step instructions for addig and configuring Parameter Providers for creating Parameter Contexts for your dataflow.

Using Parameter Context Inheritance🔗

Provides step by step instructions for configuring parameter context inheritance for your dataflows.

Using DataFlow Catalog Registry Client🔗

Provides information on readyflows and custom flow definitions stored in Cloudera DataFlow for Public Cloud, and provides instructions on how the DataFlow Catalog client can be used as a NiFi Registry Client.

Using Flow Library Registry Client🔗

Provides information on Cloudera's exclusive Flow Library Registry Client and instructions on how to work with it as a Registry Client.

Accessing NiFi Registry API Swagger UI🔗

Provides information on how to interact with the NiFi Registry API using the Swagger UI.