
demonstrates an update/insert workflow on a users and score detail table, updating null state values for ten records and inserting remaining records based on a key, and verifying the results.
Matillion ETL is one of the most powerful cloud-native data integration platforms, widely adopted for building modern data pipelines and enabling ELT workflows in cloud environments like Snowflake, Redshift, BigQuery, and Azure Synapse. With more companies moving to the cloud, learning Matillion has become an essential skill for data engineers, ETL developers, and analytics professionals.
This course, “Matillion ETL: Cloud-Native Data Integration & Pipelines,” is a complete hands-on guide to mastering data integration in the cloud. You will learn how to design, build, and manage scalable ETL/ELT pipelines using Matillion’s intuitive, low-code interface.
We will start with the fundamentals of Matillion, including architecture, connections, and environment setup. Then, you’ll explore practical use cases such as connecting to multiple data sources, orchestrating transformations, and automating workflows. Advanced topics like performance optimization, error handling, and scheduling will also be covered, preparing you to tackle real-world data engineering challenges.
By the end of this course, you will have the skills to confidently work with Matillion ETL for cloud-native data integration and transformation, making you job-ready for modern data projects.
Whether you are a data engineer, ETL developer, or cloud professional, this course will equip you with the practical knowledge to leverage Matillion for building efficient, scalable, and automated data pipelines