Learner Reviews & Feedback for Serverless Data Processing with Dataflow: Operations by Google Cloud
About the Course
and techniques for troubleshooting and optimizing pipeline performance. We will then review testing, deployment, and reliability best practices
for Dataflow pipelines. We will conclude with a review of Templates, which makes it easy to scale Dataflow pipelines to organizations with
hundreds of users. These lessons will help ensure that your data platform is stable and resilient to unanticipated circumstances.
Top reviews
RR
Aug 5, 2022
Labs are keeping up-to-date, but are lacking overall theoretical summary to teach symmatically how each code could work. Still a very typical problem of courses offered by Google Cloud.
RT
Oct 22, 2023
Good intermediate course covering the big picture about how to develop data platforms using GCP and Dataflow.
1 - 8 of 8 Reviews for Serverless Data Processing with Dataflow: Operations
By Marcos
•Dec 3, 2021
A lot labs with problem and the responsable for support (QWIKLABS) doesn't help.
By RLee
•Aug 5, 2022
Labs are keeping up-to-date, but are lacking overall theoretical summary to teach symmatically how each code could work. Still a very typical problem of courses offered by Google Cloud.
By Raul S T
•Oct 22, 2023
Good intermediate course covering the big picture about how to develop data platforms using GCP and Dataflow.
By Ercim C
•Nov 15, 2023
In-depth, Practical learning through labs.
By Philipp M
•Dec 7, 2021
Some of the labs were buggy but suppurt not really willing to help.
By Adolfo C Y
•Dec 14, 2022
There are many errors in the labs
By Ted K L L
•Mar 25, 2022
* Some instruction of lab is not clear or insufficient to complete.
* The speaking of instructors is also not clear. Even the transcript is also incorrect (maybe speechToText). Difficult to follow.
By Jesús M G O
•Oct 11, 2022
He tenido que repetir varios Labs porque no detectaban los últimos checks