MadConnect Embedded Documentation
  • Getting Started
    • MadConnect Architecture
  • Implementation Guide
    • Integrating MadConnect Into Your Platform
    • Connector Management
      • Listing Connectors
      • Getting Connector Info
      • Configuring Connectors
      • Fetching Connector Configuration
      • Updating Connector Configuration
    • Connection Management
      • Setting up Connections
      • Getting list of Connections
      • Fetching Connection Details
      • Disabling/Enabling a Connection
      • Deleting a Connection
  • Embedded API Reference
    • Authorization APIs
      • Authorization URI
      • Get Token (By code)
      • Get Token (By refresh-token)
    • Connector Information APIs
      • Get All Connectors
      • Get connector information
    • Connector Configuration APIs
      • Get a Platform config (Connector Config)
      • Setup Connector
    • Connection APIs
      • Get All Connections
      • Create Connection
      • Fetch Connection
      • Delete Connection
      • Enable/Disable Connection
    • Status Codes
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  1. Getting Started

MadConnect Architecture

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Last updated 1 year ago

Central to MadConnect's functionality is the Mapper and Collator engine. This engine is designed to translate and organize data, converting it from various source formats to the appropriate destination formats for seamless ingestion.

A diverse array of connectors integrates with this engine, tailoring MadConnect to the unique integration requirements of different platforms. These connectors are versatile, supporting either pull-based or push-based data acquisition methods. They are also adaptable to the data's nature and volume, capable of handling both streaming (microbatch) for real-time data exchanges and batch processing for large-scale file transfers.

This architecture ensures that MadConnect can efficiently manage and streamline data integration processes, offering flexibility and precision across a wide range of platform integrations.