Description

Introduction

This course explores how to use Matillion ETL to integrate, transform, and orchestrate data pipelines across major cloud platforms—AWS, Azure, and Google Cloud Platform (GCP). You’ll learn how to configure cloud-specific environments, leverage native services like S3, Blob Storage, and GCS, and build platform-agnostic ETL workflows using Matillion’s powerful interface.

Prerequisites

• Understanding of ETL/ELT concepts

• Basic SQL proficiency

• Familiarity with one or more cloud platforms: AWS, Azure, or GCP

• Optional: Basic exposure to Matillion

Table of Contents

1. Overview of Matillion and Cloud Platforms
    1.1 What is Matillion ETL?
    1.2 Supported Cloud Platforms and Use Cases
    1.3 Licensing and Deployment Options

2. Setting Up Matillion on Cloud Platforms
    2.1 Launching Matillion on AWS Marketplace
    2.2 Deploying Matillion via Azure Marketplace
    2.3 Deploying Matillion through GCP Marketplace
    2.4 Configuring Network, Security, and Access

3. Cloud Storage Integration
    3.1 Connecting to AWS S3 Buckets
    3.2 Accessing Azure Blob Storage
    3.3 Working with Google Cloud Storage
    3.4 File Format Management (CSV, JSON, Parquet)

4. Cloud Data Warehouse Connections
    4.1 Snowflake on AWS, Azure, and GCP
    4.2 Connecting to Amazon Redshift
    4.3 Connecting to Azure Synapse Analytics
    4.4 Connecting to Google BigQuery

5. Data Loading and Extraction
    5.1 Using the Data Transfer Component
    5.2 Leveraging Query and API Components
    5.3 Working with Native Cloud Connectors

6. Transformation and Job Design
    6.1 Building Platform-Agnostic Transformation Jobs
    6.2 Using Variables and Parameters Across Clouds
    6.3 Modularizing and Reusing Workflows

7. Orchestration and Automation
    7.1 Creating Cross-Cloud Orchestration Pipelines
    7.2 Automating Jobs with Cloud Triggers
    7.3 Managing Environment-Specific Workflows

8. Security and Governance
    8.1 Managing Cloud Access Keys and Credentials
    8.2 Role-Based Access in Matillion
    8.3 Logging, Auditing, and Compliance

9. Optimization and Cost Management
    9.1 Efficient Use of Cloud Compute Resources
    9.2 Matillion Job Performance Tuning
    9.3 Managing Cloud Service Costs

10. Real-World Use Cases and Multi-Cloud Strategy
    10.1 Building a Unified Data Pipeline for Multi-Cloud
    10.2 Case Study: Retail Analytics on AWS & Azure
    10.3 Case Study: IoT Pipeline Using GCP and Snowflake

This course empowers you to harness Matillion’s flexibility to integrate and orchestrate data pipelines across AWS, Azure, and GCP. You’ll gain the skills to manage diverse cloud environments efficiently, making your data integration strategy scalable, secure, and cloud-agnostic.