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Google Cloud による Building Batch Data Pipelines on GCP の受講者のレビューおよびフィードバック

4.5
1,449件の評価
181件のレビュー

コースについて

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....

人気のレビュー

UB
2020年5月27日

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.

AD
2020年7月16日

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

フィルター:

Building Batch Data Pipelines on GCP: 176 - 182 / 182 レビュー

by Ted C

2021年1月31日

creating cloud composer environment took too long for about 45 minutes

by Ivan L

2021年5月20日

Least favourite one so far from the course series

by Johnny L

2020年6月20日

Poorly designed course

by Michael E

2020年9月17日

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.

by Mohamed D

2020年11月6日

Putain metter le lien pour acceder Qwiklabs

by Lawrence R

2020年5月30日

Most labs are not working

by Emel G

2020年4月27日

Not engaging