Fuuz Data Flows enable DataOps at Scale, ETL, iPaaS and more

Fuuz Data Flows enable DataOps at Scale, ETL, iPaaS and more

What is a Data Flow in Fuuz?

  1. A Data Flow is a flow-based programming tool used to automate and orchestrate data movement and transformation.
  2. Supports cloud, edge, and UI-based flows.
  3. Core to Fuuz’s ability to integrate, transform, and control data across systems and devices.


Data Flow vs. Traditional iPaaS

  1. Traditional iPaaS tools focus on:
    1. Data mapping
    2. Transformation
    3. Pipeline creation
  2. Fuuz Data Flows go beyond:
    1. Mutating data within Fuuz
    2. Controlling UI behavior
    3. Communicating with industrial devices
    4. Interacting with Fuuz-stored data

Real-World Examples

  1. UI Control: Trigger a popup based on user actions or business logic.
  2. EDI Mapping: Convert raw EDI files to JSON or XML, then load into another system.
  3. Device Communication: Send commands to or receive data from PLCs, RFID, AGVs, etc.

Key Features of Fuuz Data Flows

  1. Version-controlled and release-managed for enterprise-grade governance.
  2. Use Connections to retrieve and push data to external systems.
  3. Integrate with Device Gateways for real-time industrial automation.
  4. Support advanced scripting via:
    1. JSONata
    2. JavaScript

Designed for All Skill Levels

  1. Most common functions are available as pre-built tools with configurable options.
  2. Designed to support non-technical users, while still offering deep customization for advanced users.

Word of Caution

  1. Enterprise integration is complex.
  2. Success requires understanding:
  3. The Fuuz platform
  4. The external systems being integrated
  5. Fuuz provides the tools—but expertise is essential.

Wrap Up

  1. Fuuz Data Flows are a powerful evolution of traditional iPaaS.
  2. They enable end-to-end automation, data transformation, and UI/device control.
  3. Built for flexibility, scalability, and real-world industrial intelligence.



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