RT
5.0Reviewed Oct 21, 2023
Good intermediate course covering the big picture about how to develop data platforms using GCP and Dataflow.
A lot labs with problem and the responsable for support (QWIKLABS) doesn't help.
Serverless Data Processing with Dataflow: Operations
In the last installment of the Dataflow course series, we will introduce the components of the Dataflow operational model. We will examine tools 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.
Status: Dataflow
Status: Data Pipelines
AdvancedCourse9 hours
Featured reviews
RR
5.0Reviewed Aug 4, 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.
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Marcos
1.0
Reviewed Dec 3, 2021RLee
5.0
Reviewed Aug 5, 2022Labs 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.
Raul Saez Tapia
5.0
Reviewed Oct 22, 2023Good intermediate course covering the big picture about how to develop data platforms using GCP and Dataflow.
Ercim Caglasan
5.0
Reviewed Nov 15, 2023In-depth, Practical learning through labs.
Philipp Marinovic-Brünjes
3.0
Reviewed Dec 7, 2021Some of the labs were buggy but suppurt not really willing to help.
Adolfo Camacho Y.
3.0
Reviewed Dec 13, 2022There are many errors in the labs
Ted K L Lau
2.0
Reviewed Mar 24, 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.
Jesús María Gil Ollero
2.0
Reviewed Oct 11, 2022He tenido que repetir varios Labs porque no detectaban los últimos checks