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Learner Reviews & Feedback for Serverless Data Processing with Dataflow: Operations by Google Cloud

3.4
stars
12 ratings

About the Course

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....

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1 - 6 of 6 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 Philipp M

Dec 7, 2021

Some of the labs were buggy but suppurt not really willing to help.

By Adolfo C Y

Dec 13, 2022

There are many errors in the labs

By Ted K L L

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.

By Jesús M G O

Oct 11, 2022

He tenido que repetir varios Labs porque no detectaban los últimos checks