Data Integration with Cloud Data Fusion Course Overview

The "Data Integration with Cloud Data Fusion" course is designed to provide learners with comprehensive knowledge and hands-on experience in data integration using Google Cloud's Cloud Data Fusion service. This course delves into the what, why, and challenges of data integration, exploring various tools used in the industry and the critical capabilities required for successful data integration projects.

Learners will gain insights into the Cloud Data Fusion architecture and understand how to design and build both simple and complex data pipelines, learning about directed acyclic graphs (DAG), pipeline lifecycle, and the use of Pipeline Studio for designing. The course also covers advanced topics such as branching, merging, joining, error handling, macro functions, and pipeline scheduling.

Participants will learn about pipeline execution environments, including schedules, triggers, and monitoring. A dedicated module on data transformations teaches the use of Wrangler and directives to prepare data effectively. The course also introduces various connectors, the use of the Cloud Data Loss Prevention (DLP) API, and the architecture of streaming pipelines.

Finally, the course underscores the importance of metadata and data lineage, ensuring learners understand how to track data's origin, movement, and characteristics throughout the pipeline. This course is valuable for anyone looking to master data integration techniques and leverage Cloud Data Fusion for scalable, efficient data management solutions.