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返回到 Building Batch Data Pipelines on Google Cloud

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

1,525 个评分


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


101 - Building Batch Data Pipelines on Google Cloud 的 125 个评论(共 192 个)

创建者 김태규

Sep 13, 2020


创建者 Arghya N

Jun 21, 2020

great course

创建者 Milos B

May 31, 2020

Great course

创建者 Vishal M

Aug 21, 2021

Good Course

创建者 Naveen K B V

Jun 13, 2020


创建者 Dheeraj A

May 11, 2020

A Good One!

创建者 Ryan B

Apr 24, 2021

Thank you!

创建者 Diego S

Jun 12, 2020


创建者 Fatima-zahra K

Mar 22, 2020


创建者 Mirelys D

Jun 25, 2020


创建者 Neftali M

May 25, 2020


创建者 Ömer F B

Jan 24, 2020

Great Job

创建者 Trusha R S

May 5, 2020

good one

创建者 Muhammad Z H

Jun 5, 2020


创建者 Ganesh K

May 4, 2020


创建者 Felipe A

Jul 19, 2021


创建者 Shweta M (

Dec 26, 2020


创建者 Gerardo F V

Nov 23, 2020


创建者 Priyanka C

Jun 14, 2020


创建者 Cristhian R B

May 17, 2020


创建者 CH V S

May 6, 2020


创建者 Santanu R

Apr 27, 2020


创建者 Koushik C

Aug 3, 2020


创建者 Kowsik P

Dec 20, 2020

The course covers the main stuff required to understand the lifecycle of batch processing along with hands-on labs. However, when we have complimentary services offered by GCP which is Data Flow on top of the Data fusion which serves a similar purpose so it's much necessary to explain the use cases holistically when to go for Data flow and Data fusion. Also this 3rd of 6 courses as part of DE certification, it has more code content explained.

创建者 Jeremy G

Dec 21, 2021

I thought this course was good but would have been better if it went a bit deeper into the infrastructure that the different Pipelines tools run on in GCP, particularly for Dataflow. I understand that Dataflow is serverless but a better explanation of what that means as jobs are running would have been helpful.