Description

Introduction

Effective data governance and continuous monitoring are essential to ensure data quality, compliance, and operational visibility in modern ETL environments. This course focuses on how Matillion supports enterprise-grade data governance through metadata management, audit logging, access control, and pipeline monitoring, enabling reliable and transparent data operations.

Prerequisites

• Basic understanding of ETL concepts

• Familiarity with Matillion ETL workflows

• Awareness of data governance principles and compliance requirements

• Knowledge of cloud data warehouses (e.g., Snowflake, Redshift, BigQuery)

Table of Contents

1. Introduction to Data Governance in ETL
    1.1 What Is Data Governance?
    1.2 Governance Challenges in Cloud ETL
    1.3 Role of Matillion in Governance

2. Managing Metadata in Matillion
    2.1 Metadata Capture and Usage
    2.2 Lineage Tracking and Audit Trails
    2.3 Exporting Metadata for External Tools

3. Access Control and Permissions
    3.1 Role-Based Access Control (RBAC)
    3.2 User and Group Management
    3.3 Secure Project and Environment Access

4. Data Quality and Validation
    4.1 Implementing Data Checks in Pipelines
    4.2 Error Handling and Alerting
    4.3 Logging and Remediation Strategies

5. Monitoring Matillion Jobs and Pipelines
    5.1 Job Status and History Views
    5.2 Job Metrics and Performance Tracking
    5.3 Setting Up Notifications and Alerts

6. Integration with External Monitoring Tools
    6.1 Exporting Logs to CloudWatch, Datadog, etc.
    6.2 Using Matillion API for Custom Dashboards
    6.3 Centralized Monitoring Best Practices

7. Audit and Compliance Reporting
    7.1 Capturing Pipeline Execution History
    7.2 Building Compliance Reports with Matillion Data
    7.3 Retention Policies and Governance Documentation

8. Version Control and Change Management
    8.1 Tracking Changes in ETL Jobs
    8.2 Integration with Git and CI/CD Tools
    8.3 Promoting Jobs Across Environments

9. Data Catalog and Governance Integration
    9.1 Linking Matillion with Data Catalogs (e.g., Alation, Collibra)
    9.2 Publishing Lineage to Governance Tools
    9.3 Standardizing Tags and Business Glossaries

10. Governance Use Case: Enterprise Deployment Example
    10.1 Requirements and Controls
    10.2 Implementation with Matillion
    10.3 Governance Review and Audit Outcome

With robust support for metadata, monitoring, and access control, Matillion plays a vital role in implementing secure and governed data pipelines. It enables teams to uphold compliance, ensure data quality, and respond quickly to operational issues in a scalable cloud-native ETL environment.