Description

Introduction

This course is designed for data professionals who want to deepen their expertise in building sophisticated, modular, and performance-optimized ETL workflows using Matillion ETL. It covers advanced transformation techniques, error handling, parameterization, reusability, and automation to build enterprise-grade pipelines.

Prerequisites

• Prior experience using Matillion ETL

• Solid understanding of ETL/ELT concepts

• Proficiency in SQL

• Familiarity with cloud data warehouses (e.g., Snowflake, Redshift, BigQuery)

Table of Contents

1. Recap of ETL Basics in Matillion
    1.1 Key Components and Job Types
    1.2 Transformation vs. Orchestration Jobs
    1.3 Best Practices for Project Organization

2. Advanced Transformation Design
    2.1 Complex Joins, Window Functions, and CTEs
    2.2 Derived Tables and Common Patterns
    2.3 Multi-step Transformation Logic

3. Reusability and Modularity
    3.1 Creating Shared Jobs and Templates
    3.2 Building Parameterized Sub-Jobs
    3.3 Promoting Code Reuse and Maintainability

4. Parameterization and Variables
    4.1 Using Environment and Job Variables
    4.2 Dynamic Table and Schema Naming
    4.3 Advanced Use of Grid Variables

5. Workflow Orchestration Strategies
    5.1 Conditional Logic and Control Flow
    5.2 Looping with Iterator Components
    5.3 Triggering Jobs Dynamically

6. Error Handling and Logging
    6.1 Job Status and Return Codes
    6.2 Exception Branching and Fallback Jobs
    6.3 Custom Logging and Notifications

7. Performance Optimization Techniques
    7.1 Minimizing Warehouse Usage
    7.2 Optimizing SQL Pushdown
    7.3 Performance Testing and Tuning

8. Integration with External Services
    8.1 Calling APIs within Matillion Jobs
    8.2 Integrating with REST, Webhooks, and Python
    8.3 Automating via CI/CD and External Schedulers

9. Real-World Workflow Examples
    9.1 Master Data Management Pipeline
    9.2 Sales Forecasting and Time-Series Flow
    9.3 Multi-Tenant Data Processing Strategy

10. Governance and Documentation
    10.1 Job Annotations and Metadata Tracking
    10.2 Version Control and Deployment Best Practices
    10.3 Monitoring and Auditing Considerations

By mastering advanced ETL workflows in Matillion, you’ll gain the ability to build robust, reusable, and highly scalable data pipelines. This course equips you with techniques that elevate your ETL designs to enterprise standards, improving efficiency, maintainability, and integration flexibility.