Modernizing Data Lakes and Data Warehouses with Google Cloud
Course Features
Duration
7 hours
Delivery Method
Online
Available on
Limited Access
Accessibility
Desktop, Laptop
Language
English
Subtitles
English
Level
Intermediate
Teaching Type
Self Paced
Video Content
7 hours
Course Description
Course Overview
International Faculty
Post Course Interactions
Instructor-Moderated Discussions
Skills You Will Gain
What You Will Learn
Examine why data engineering should be done in a cloud environment
Explore use-cases for each type of storage and dive into the available data lake and warehouse solutions on Google Cloud in technical detail
Understand the differences between data lakes and data warehouses, the two key components of any data pipeline
Understand the role of a data engineer and the benefits of a successful data pipeline to business operations
Course Accreditations