Architect Guide
A guide to understand the architecture, components, and integration patterns.
Section 1: Architecture Overview
This section provides a high-level architecture diagram and explains the core components of the Trazadera Golden platform. It describes how the system is designed to handle data cleaning, validation, and de-duplication challenges at scale.
Readers will learn about the platform’s modular design, microservices architecture, and deployment models. It also covers the security, events, and asynchronous task mechanisms.
Section 2: Core Components
This section dives into the key components of the Trazadera Golden platform, including:
Data Ingestion Layer: Handles importing and normalizing data from various sources.
Golden Record Engine: The core component responsible for de-duplication, data merging, and creating Golden Records.
Resources: Allows users to define custom data quality rules, matching algorithms, and transformation logic.
API Layer: Exposes the platform’s functionality through a RESTful interface for integration with external systems.
Each component is explained in detail, with responsibilities, dependencies, and best practices for implementation.
Section 3: Data Flow and Processing
This section describes the data flow within the platform, from data ingestion to Golden Record creation. It covers:
Data transformation pipeline
Data quality checks
Matching and merging algorithms
Real-time vs. batch processing
A data flow diagram is provided to help visualize how data moves through the system.
Section 4: Integration Patterns
This section outlines common integration patterns for using the Trazadera Golden platform within an organization’s existing infrastructure. It includes:
API-based integration
Database or file integration
Event-driven integration
Practical examples and use cases are provided to illustrate how to connect Trazadera Golden with popular enterprise systems such as CRM, ERP, and data lakes.
Section 5: Best Practices and Design Considerations
This section provides best practices for implementing data cleaning, quality, and de-duplication solutions using the Trazadera Golden platform. It covers:
Defining Golden Record rules and matching criteria
Optimizing performance for large datasets
Securing data and managing sensitive information
Designing scalable and maintainable solutions