Serverless Data Processing with Dataflow: Operations(으)로 돌아가기
Google 클라우드의 Serverless Data Processing with Dataflow: Operations 학습자 리뷰 및 피드백
강좌 소개
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.
필터링 기준:
Serverless Data Processing with Dataflow: Operations의 3개 리뷰 중 1~3
교육 기관: Philipp M
•2021년 12월 7일
Some of the labs were buggy but suppurt not really willing to help.
교육 기관: Ted K L L
•2022년 3월 24일
* 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.
교육 기관: Marcos
•2021년 12월 3일
A lot labs with problem and the responsable for support (QWIKLABS) doesn't help.
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