Welcome
Customizing the System
This section guides developers on customizing and extending Detect solutions. It covers the solution's folder structure, configuration files, integration methods, and provides insights into the Detect Expression Language and its built-in functions.
Integrations

Getting Started
Welcome to the documentation for HCL Detect, where you can find information about how to install, maintain, and use this service.
Installation
Learn more about HCL Detect installation and deploying core components of the product.
Administration
Learn about how to configure, manage, and maintain HCL Detect environments. It includes details on system setup, user management, and permissions, ensuring seamless operation and efficient deployment of your continuous delivery processes.
Working with the System
The section provides comprehensive instructions for creating, configuring, and managing marketing events. It covers topics such as defining audience conditions, setting up triggers, deploying events, and tracking their performance. Additionally, this section includes explanations of key terminology and offers advanced options to optimize event management.
Customizing the System
This section guides developers on customizing and extending Detect solutions. It covers the solution's folder structure, configuration files, integration methods, and provides insights into the Detect Expression Language and its built-in functions.
- Folder Structure
  This section provides an overview of the basic solution folder structure. It describes the contents of each folder and their purpose.
- GDPR Tool
  This section explains on how to securely deleting user data from the system.
- drive.json File
  This page explains the structure and purpose of the drive.json file used in HCL Detect. It outlines required configurations including database settings, user profiles, communication parameters, system health metrics, and other operational settings. Proper setup of this file is essential before launching the application.
- Configurations
- Deploy Feed Application
  This page explains how to add a new feed application to Detect. Feed applications ingest data, process it through parsing, aggregation, and enrichment stages, and provide structured inputs for event detection.
- Integrations
  - External Kafka Environment Configuration
    Detect supports integration with externally hosted Kafka environments. This topic describes how to configure Detect to connect to external Kafka using consumer and producer properties.
  - Unica Interact Configuration
    This page describes how to configure HCL Unica Detect for integration with Unica Interact. It includes steps for setting up event consumers, mapping events to Interact actions, and managing configurations to enable seamless real-time personalization and campaign execution.
  - Unica Journey Configuration
    This page explains how to configure HCL Detect for integration with Unica Journey. It covers the setup of journey endpoints, event mappings, and authentication parameters to enable real-time event-based customer engagement through Unica Journey workflows.
  - HCL CDP Configuration
  - Custom Event Consumer Configuration
- Solution Source Code
  This page outlines the structure and components of a solution source in HCL Detect. It details how solutions are packaged, including profiles, feed models, applications, and configurations, enabling deployment and reuse across different environments.
- Detect Expression Language
- Detect Expression Language Built-in Functions
System Data Model
This section provides detailed information about the internal tables used within the Detect module. It includes descriptions of each table's structure, purpose, and relationships, aiding administrators and developers in understanding and managing the underlying database schema effectively.

Integrations

This page explains how to configure Kafka settings in HCL Detect for event processing. It covers the setup of Kafka topics, event publishing mechanisms, and integration with feed applications to ensure efficient real-time data streaming and event handling.