Вернуться к Serverless Data Processing with Dataflow: Operations
Отзывы учащихся о курсе Serverless Data Processing with Dataflow: Operations от партнера Google Cloud
О курсе
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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1–3 из 3 отзывов о курсе Serverless Data Processing with Dataflow: Operations
автор: Philipp M
•7 дек. 2021 г.
Some of the labs were buggy but suppurt not really willing to help.
автор: Ted K L L
•24 мар. 2022 г.
* 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.
автор: Marcos
•3 дек. 2021 г.
A lot labs with problem and the responsable for support (QWIKLABS) doesn't help.
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