Description

Introduction

Reliable data operations depend on the ability to monitor, log, and troubleshoot ETL pipelines effectively. This course focuses on the operational aspects of using Matillion, teaching you how to track job performance, capture logs, identify failures, and resolve common issues quickly. It’s an essential module for administrators, developers, and DevOps teams managing production-grade Matillion deployments.

Prerequisites

• Basic proficiency with Matillion ETL interface

• Familiarity with ETL job design and execution

• Understanding of cloud platforms (AWS, Azure, or GCP)

• Working knowledge of SQL and API interactions

Table of Contents

1. Introduction to Operational Monitoring in Matillion
    1.1 Importance of Observability in ETL
    1.2 Key Metrics to Track
    1.3 Job Lifecycle Overview

2. Job Monitoring Tools
    2.1 Live Job Monitoring Interface
    2.2 Job Queues and Execution States
    2.3 Viewing Component-Level Status

3. Log Types and Accessing Logs
    3.1 Task History Logs
    3.2 Server and Environment Logs
    3.3 Exporting and Archiving Logs

4. Error Handling Strategies
    4.1 Common Error Types and Their Meaning
    4.2 Job and Component-Level Error Traps
    4.3 Conditional Execution for Failover

5. Troubleshooting Techniques
    5.1 Debugging Failed Jobs
    5.2 Handling Timeouts and API Failures
    5.3 Investigating SQL Query Issues

6. Notifications and Alerts
    6.1 Email and Slack Notifications
    6.2 Integrating with Cloud Alert Systems
    6.3 Custom Alerting with Python Scripts

7. Performance Monitoring and Bottlenecks
    7.1 Identifying Slow Components
    7.2 Tracking Resource Usage
    7.3 Using Query Profiler for Data Warehouse Insights

8. Job Auditing and Governance
    8.1 Job Execution History
    8.2 User Activity Logs
    8.3 Audit Trail for Compliance

9. Integration with External Monitoring Tools
    9.1 CloudWatch, Azure Monitor, and GCP Logging
    9.2 REST APIs for External Dashboards
    9.3 Embedding Monitoring into CI/CD

10. Best Practices for Reliable Operations
    10.1 Designing Monitorable Jobs
    10.2 Proactive Issue Detection
    10.3 Creating a Troubleshooting Knowledge Base

Effective monitoring and troubleshooting in Matillion is crucial for maintaining healthy data pipelines. By leveraging built-in tools and external integrations, teams can proactively manage failures, optimize job performance, and ensure continuous data delivery across cloud platforms.