About this Course

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Shareable Certificate
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Coursera Labs
Includes hands on learning projects.
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Intermediate Level
Approx. 17 hours to complete
English

What you will 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

Flexible deadlines
Reset deadlines in accordance to your schedule.
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Coursera Labs
Includes hands on learning projects.
Learn more about Coursera Labs External Link
Intermediate Level
Approx. 17 hours to complete
English

Instructor

Offered by

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Google Cloud

Syllabus - What you will learn from this course

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Week1
Week 1
1 minute to complete

Introduction

1 minute to complete
1 video (Total 1 min)
Week2
Week 2
23 minutes to complete

Introduction to Building Batch Data Pipelines

23 minutes to complete
6 videos (Total 21 min)
Week3
Week 3
2 hours to complete

Executing Spark on Dataproc

2 hours to complete
11 videos (Total 48 min)
Week4
Week 4
10 hours to complete

Serverless Data Processing with Dataflow

10 hours to complete
13 videos (Total 35 min), 1 reading, 7 quizzes

Reviews

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