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03

Introduction to Data Engineering on Google Cloud

03

Introduction to Data Engineering on Google Cloud

9 hours 30 minutes Introductory universal_currency_alt 15 Credits

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.

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Badge for Introduction to Data Engineering on Google Cloud
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Course Info
Objectives
  • 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.
Prerequisites

Prior Google Cloud experience at the fundamental level using the 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 with developing applications using a common programming language such as Python.

Audience
Data Engineers, Database Administrators, System Administrators
Available languages
English
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Interested in taking this course with one of our authorized on-demand partners?
Explore Google Cloud content on Coursera and Pluralsight.
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View the public classroom schedule here.
Can I take this course for free?
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