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学生对 Google Cloud 提供的 Serverless Data Processing with Dataflow: Operations 的评价和反馈

3.6
18 个评分

课程概述

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....

热门审阅

RR

Aug 4, 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.

RT

Oct 21, 2023

Good intermediate course covering the big picture about how to develop data platforms using GCP and Dataflow.

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1 - Serverless Data Processing with Dataflow: Operations 的 8 个评论(共 8 个)

创建者 Marcos

Dec 3, 2021

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

创建者 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.

创建者 Raul S T

Oct 22, 2023

Good intermediate course covering the big picture about how to develop data platforms using GCP and Dataflow.

创建者 Ercim C

Nov 15, 2023

In-depth, Practical learning through labs.

创建者 Philipp M

Dec 7, 2021

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

创建者 Adolfo C Y

Dec 13, 2022

There are many errors in the labs

创建者 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.

创建者 Jesús M G O

Oct 11, 2022

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