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学生对 Google 云端平台 提供的 Building Batch Data Pipelines on GCP 的评价和反馈

1,450 个评分
181 条评论


Data pipelines typically fall under one of the Extra-Load, Extract-Load-Transform or Extract-Transform-Load paradigms. This course describes which paradigm should be used and when for batch data. Furthermore, this course covers several technologies on Google Cloud for data transformation including BigQuery, executing Spark on Dataproc, pipeline graphs in Cloud Data Fusion and serverless data processing with Dataflow. Learners will get hands-on experience building data pipeline components on Google Cloud using Qwiklabs....


May 27, 2020

A great course to help understand the various wonderful options Google Cloud has to offer to move on-premise Hadoop workload to Google Cloud Platform to leverage scalability of clusters.

Jul 16, 2020

Great course learning what it is the big advantages of using GCP for data given they have big implementations and with better performance of what it is today in on premises scenarios


176 - Building Batch Data Pipelines on GCP 的 182 个评论(共 182 个)

创建者 Ted C

Jan 31, 2021

creating cloud composer environment took too long for about 45 minutes

创建者 Ivan L

May 20, 2021

Least favourite one so far from the course series

创建者 Johnny L

Jun 20, 2020

Poorly designed course

创建者 Michael E

Sep 17, 2020

I didn't feel that I learned very much. I also ran into a lot of trouble with the labs. The Cloud Shell Editor was giving me issues. Fortunately, the support team was able to find a loop hole for getting around the error.

创建者 Mohamed D

Nov 6, 2020

Putain metter le lien pour acceder Qwiklabs

创建者 Lawrence R

May 30, 2020

Most labs are not working

创建者 Emel G

Apr 27, 2020

Not engaging