Introduction to Data Engineering on Google Cloud

Instructor: Google Cloud Training

What you'll learn

  •   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.

    • Skills you'll gain

  •   Command-Line Interface
  •   Data Management
  •   Data Pipelines
  •   Cloud Engineering
  •   Big Data
  •   Data Warehousing
  •   Data Processing
  •   Extract, Transform, Load
  •   Google Cloud Platform
  •   Metadata Management
  •   Data Sharing
  •   Automation
  •   Data Storage
  •   Data Migration

    • There are 8 modules in this course

    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.

    Data Engineering Tasks and Components

    Data Replication and Migration

    The Extract and Load Data Pipeline Pattern

    The Extract, Load, and Transform Data Pipeline Pattern

    The Extract, Transform, and Load Data Pipeline Pattern

    Automation Techniques

    Course Summary

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