Google Cloud
Building Batch Data Pipelines on Google Cloud
Google Cloud

Building Batch Data Pipelines on Google Cloud

This course is part of multiple programs.

Taught in English

44,647 already enrolled

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Course

Gain insight into a topic and learn the fundamentals

4.5

(1,666 reviews)

|

85%

Intermediate level
Some related experience required
17 hours (approximately)
Flexible schedule
Learn at your own pace

What you'll learn

  • Review different methods of data loading: EL, ELT and ETL and when to use what

  • Run Hadoop on Dataproc, leverage Cloud Storage, and optimize Dataproc jobs

  • Build your data processing pipelines using Dataflow

  • Manage data pipelines with Data Fusion and Cloud Composer

Details to know

Shareable certificate

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Assessments

4 quizzes

Course

Gain insight into a topic and learn the fundamentals

4.5

(1,666 reviews)

|

85%

Intermediate level
Some related experience required
17 hours (approximately)
Flexible schedule
Learn at your own pace

See how employees at top companies are mastering in-demand skills

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There are 6 modules in this course

In this module, we introduce the course and agenda

What's included

1 video

This module reviews different methods of data loading: EL, ELT and ETL and when to use what

What's included

6 videos1 quiz

This module shows how to run Hadoop on Dataproc, how to leverage Cloud Storage, and how to optimize your Dataproc jobs.

What's included

11 videos1 quiz1 app item

This module covers using Dataflow to build your data processing pipelines

What's included

13 videos1 reading1 quiz6 app items

This module shows how to manage data pipelines with Cloud Data Fusion and Cloud Composer.

What's included

13 videos1 quiz2 app items

Course Summary

What's included

1 video

Instructor

Instructor ratings
4.6 (242 ratings)
Google Cloud Training
Google Cloud
1,293 Courses2,431,887 learners

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Google Cloud

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Learner reviews

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4.5

1,666 reviews

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  • 1 star

    0.84%

ER
4

Reviewed on May 22, 2020

SP
4

Reviewed on Feb 6, 2020

EL
5

Reviewed on Jul 9, 2020

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