Introduction to
Data Engineering on
Google Cloud
Introduction to
Data Engineering on
Google Cloud
Duration: 1 day
In this course, you learn about data engineering on Google Cloud, the roles and responsibilities of data engineers, and how those map to offerings provided by Google Cloud. You also learn about ways to address data engineering challenges.
This class is intended for the following:
Data engineers
Database administrators
System administrators
This course teaches participants the following skills:
Understand the role of a data engineer.
Identify data engineering tasks and core components used on Google Cloud.
Understand how to create and deploy data pipelines of varying patterns on Google Cloud.
Identify and utilize various automation techniques on Google Cloud
Data Engineering Tasks and Components
Data Replication and Migration
The Extract and Load Data Pipeline Pattern
The Extract, Load, and Transform Data Pipeline Pattern
Automation Techniques
Prior Google Cloud experience at the fundamental level using Cloud Shell and
accessing products from the Google Cloud console.
Basic proficiency with a common query language such as SQL.
Experience with data modeling and ETL (extract, transform, load) activities.
Experience developing applications using a common programming language
such as Python
Detailed data pipeline development
Detailed usage of metadata management tools
Detailed coverage of automation practices
One day
Virtual Instructor Lead Training (vILT)
Bahasa Indonesia
18-Mar-2025