The purpose of this course is to help those who are qualified develop confidence to attempt the exam, and to help those not yet qualified to develop their own plan for preparation.
Building data processing systems
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Рецензии
4.6 (оценок: 939)
- 5 stars71,56 %
- 4 stars21,72 %
- 3 stars4,47 %
- 2 stars0,42 %
- 1 star1,81 %
MB
17 дек. 2020 г.
It is very helpful to me with the concepts and detail explanations'. Especially with Lab got more confidence. Thanks to Coursera and Quicklabs.
GS
30 апр. 2020 г.
This course gives a glimpse of almost everything in GCP that a data engineer has to know. The quiz and practice labs are really interesting.
Из урока
Building and Operationalizing Data Processing Systems
Tips and examples covering the building of data processing systems, including assembling data processing from parts, as well as using full services.
Преподаватели
Google Cloud Training
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