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 stars72.71%
- 4 stars22.89%
- 3 stars3.30%
- 2 stars0.75%
- 1 star0.33%
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
The course offers a nice description of what modern DWH means, which are the differences between classic DWH and cloud DWH. You have the chance to work with the new cloud concept on GCP.
Course material spends a little too much time promoting the benefits of GCP when it could be focusing on the technical aspects of using GCP
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.
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