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Avis et commentaires pour d'étudiants pour Building Batch Data Pipelines on Google Cloud par Google Cloud

4.5
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1,522 évaluations

À propos du cours

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....

Meilleurs avis

UB

27 mai 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.

AD

16 juil. 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

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101 - 125 sur 192 Avis pour Building Batch Data Pipelines on Google Cloud

par 김태규

13 sept. 2020

NICE LECTURE

par Arghya N

21 juin 2020

great course

par Milos B

31 mai 2020

Great course

par Vishal M

21 août 2021

Good Course

par Naveen K B V

13 juin 2020

Excellent!.

par Dheeraj A

11 mai 2020

A Good One!

par Ryan B

24 avr. 2021

Thank you!

par Diego S

12 juin 2020

Excellent!

par Fatima-zahra K

22 mars 2020

magnifique

par Mirelys D

25 juin 2020

Excelente

par Neftali M

25 mai 2020

EXCELLENT

par Ömer F B

24 janv. 2020

Great Job

par Trusha R S

5 mai 2020

good one

par Muhammad Z H

5 juin 2020

Thanks

par Ganesh K

4 mai 2020

great

par Felipe A

19 juil. 2021

good

par Shweta M (

26 déc. 2020

BEST

par Gerardo F V

23 nov. 2020

good

par Priyanka C

14 juin 2020

Good

par Cristhian R B

17 mai 2020

Thx!

par CH V S

6 mai 2020

Nice

par Santanu R

27 avr. 2020

Good

par Koushik C

3 août 2020

OK

par Kowsik P

20 déc. 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.

par Jeremy G

21 déc. 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.