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  • Overview
  • Use cases
  • Available transformation options

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  1. Components
  2. Processors

Transformation

Reshape origin event data in to target event

PreviousStatic contextual dataNextField Tokeniser

Last updated 5 months ago

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Overview

A streaming event transform converts a source event in to transformed event and event properties. Transformation are performed in real-time using a continuous process.

Support includes derived attributes, transformed properties, custom and transformed events.

Use cases

Here are some use cases of how it can be applied in stream processing:

  1. Customer data Mask Personal Identifiable Information.

  2. GDPR compliance Tokenise a data value in to component parts and randomise sensitive components.

  3. Secure communication Encrypt sensitive data for endpoint consumption.

  4. Feature engineering Basic bucketing for statistical processing.

  5. Domain transformers Convert from source and to target domain data structures.

Available transformation options

Customise events in real-time using Joule out-of-the-box transformation processors.

Field Tokeniser

Tokenise attribute values in to component parts

Obfuscation

Obfuscate streaming events to meet compliance policies

Feature engineering

Decorate a feature vector with enriched features specific to the deployed model

Domain Transformers

Parse incoming events and transform outgoing events