What you'll learn

Data engineers often struggle with building reliable, automated data processing systems that can handle real-world business requirements at scale. The objective of the Google Associate Data Practitioner Exam is to validate skill in this area.

In this course, Google Cloud Associate Data Practitioner: Data Pipeline Orchestration, you'll gain the ability to design, implement, and manage automated data processing pipelines on the Google Cloud Platform.

First, you'll explore how to design and implement simple data pipelines by selecting appropriate transformation tools and understanding ELT vs. ETL methodologies.

Next, you'll discover how to schedule, automate, and monitor basic data processing tasks using tools like BigQuery, Cloud Scheduler, and Cloud Composer.

Finally, you'll learn how to build event-driven data ingestion systems using Pub/Sub, Eventarc triggers, and various Google Cloud services.

When you're finished with this course, you'll have the skills and knowledge of Google Cloud data pipeline engineering needed to design, implement, and manage automated data processing pipelines that meet business requirements, as well as feel more prepared for this area of coverage in the Google Cloud Associate Data Practitioner Exam.