返回到 Serverless Data Processing with Dataflow: Operations
學生對 Google 云端平台 提供的 Serverless Data Processing with Dataflow: Operations 的評價和反饋
課程概述
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 - Serverless Data Processing with Dataflow: Operations 的 3 個評論（共 3 個）
創建者 Philipp M
•2021年12月7日
Some of the labs were buggy but suppurt not really willing to help.
創建者 Ted K L L
•2022年3月24日
* 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.
創建者 Marcos
•2021年12月3日
A lot labs with problem and the responsable for support (QWIKLABS) doesn't help.
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