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 stars72.83%
- 4 stars22.85%
- 3 stars3.25%
- 2 stars0.71%
- 1 star0.34%
TOP REVIEWS FROM MODERNIZING DATA LAKES AND DATA WAREHOUSES WITH GOOGLE CLOUD
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.
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.
The labs were awesome! The trainers in the video and in the demo were well prepared. The quizes however were short and not well thoughtful.
Really well put together with interesting content and good examples. The labs allow really good practice and help to build confidence.
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