This is a self-paced lab that takes place in the Google Cloud console.
ETL Processing on Google Cloud Using Dataflow and BigQuery
ETL Processing on Google Cloud Using Dataflow and BigQuery
Instructor: Google Cloud Training
Sponsored by Coursera for Reliance Family
1,640 already enrolled
Build in-demand job skills with step-by-step instructions
4.4
(10 reviews)
Intermediate level
Some related experience required
1 hour
Learn at your own pace
Hands-on learning
What you'll learn
Build several Data Pipelines that ingest data from a publicly available dataset
Create your own Data Pipeline
Use python files to ingest data into BigQuery using Dataflow.
Skills you'll practice
- Data Pipelines
- Data Management
- Public Cloud
- Multi-Cloud
- Cloud Computing
- Extract, Transform, Load
- Data Integration
- Information Management
- Cloud Security
- Google Cloud Platform
- Data Engineering
- Cloud Services
- Cloud Management
- Cloud Platforms
- Cloud Applications
- Dataflow
- Cloud Infrastructure
- Data Processing
- Real Time Data
- Cloud Solutions
Details to know
Shareable certificate
Add to your LinkedIn profile
Taught in English
No downloads or installation required
Only available on desktop
See how employees at top companies are mastering in-demand skills
Learn, practice, and apply job-ready skills in less than 2 hours
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- Gain hands-on experience solving real-world job tasks
About this project
Instructor
Offered by
How you'll learn
Hands-on, project-based learning
Practice new skills by completing job-related tasks with step-by-step instructions.
No downloads or installation required
Access the tools and resources you need in a cloud environment.
Available only on desktop
This project is designed for laptops or desktop computers with a reliable Internet connection, not mobile devices.
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