Description

Introduction

This beginner-level course introduces you to Matillion as a modern ETL (Extract, Transform, Load) tool built for cloud data integration. It provides a clear understanding of core ETL concepts and shows how Matillion simplifies data ingestion, transformation, and loading across platforms like Snowflake, Redshift, and BigQuery. Designed for data professionals new to cloud data pipelines, the course emphasizes hands-on usage, visual job building, and seamless cloud service integration.

Prerequisites

• Basic knowledge of data workflows and ETL processes

• Familiarity with SQL syntax

• General understanding of cloud computing (AWS, GCP, or Azure)

• No prior experience with Matillion is required

Table of Contents

1. Introduction to ETL and Matillion
    1.1 What is ETL and Why It Matters
    1.2 Introduction to Matillion’s ETL Platform
    1.3 Key Benefits of Cloud-Native ETL

2. Setting Up Matillion
    2.1 Launching a Matillion Instance
    2.2 Navigating the User Interface
    2.3 Project and Environment Setup

3. ETL Concepts in Action
    3.1 Extracting Data from Cloud Sources
    3.2 Using Connectors and API Integration
    3.3 Data Staging and File Handling

4. Data Transformation with Matillion
    4.1 Using the Transformation Components
    4.2 Filtering, Aggregation, and Joins
    4.3 Handling Nulls, Data Types, and Formatting

5. Loading Data into Cloud Warehouses
    5.1 Writing to Snowflake, Redshift, or BigQuery
    5.2 Managing Target Tables and Schemas
    5.3 Verifying Load Jobs and Output

6. Cloud Integration Features
    6.1 Scheduling Jobs in the Cloud
    6.2 Logging, Monitoring, and Notifications
    6.3 Using Variables and Parameterization

7. Real-World ETL Workflow Example
    7.1 Designing an End-to-End Pipeline
    7.2 Deployment Considerations
    7.3 Best Practices for Reusability and Scalability

This course equips beginners with the practical skills to build cloud-based ETL workflows using Matillion. From understanding data extraction to transformation and cloud integration, you’ll gain foundational experience in visual job development. By the end, you’ll be ready to develop efficient data pipelines that are both scalable and cloud-optimized.