The two key components of any data pipeline are data lakes and warehouses. This course highlights use-cases for each type of storage and dives into the available data lake and warehouse solutions on Google Cloud in technical detail. Also, this course describes the role of a data engineer, the benefits of a successful data pipeline to business operations, and examines why data engineering should be done in a cloud environment.
About this Course
- 5 stars72.84%
- 4 stars22.84%
- 3 stars3.25%
- 2 stars0.71%
- 1 star0.34%
TOP REVIEWS FROM MODERNIZING DATA LAKES AND DATA WAREHOUSES WITH GOOGLE CLOUD
Great course providing the fundamental concepts around Data Lakes, Data Warehouses, Schemas, ETL/ELT/EL, and specific Google GCP Technologies that help implement these concepts
Great!!! Key to understand how to take advantage of the resources offered by the Google cloud to a modern way to build and process your data.
This is an excellent course to understand about Data Lakes and Data Warehouses, and how to implement them with GCP. It takes you from zero to a level where you can move confidently in GCP.
I really like how the Google courses do not overwhelm the learner with too much information. The information was presented well and the labs were very practical with clear instructions.
Frequently Asked Questions
Can I preview a course before enrolling?
What will I get when I enroll?
When will I receive my Course Certificate?
Why can’t I audit this course?
More questions? Visit the Learner Help Center.