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Back to Serverless Data Processing with Dataflow: Operations

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

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 - 4 of 4 Reviews for Serverless Data Processing with Dataflow: Operations

By RLee

Aug 5, 2022

L​abs 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

S​ome of the labs were buggy but suppurt not really willing to help.

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 Marcos

Dec 3, 2021

A lot labs with problem and the responsable for support (QWIKLABS) doesn't help.