About this Course

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Coursera Labs
Includes hands on learning projects.
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Beginner Level

Computer and IT literacy.

Approx. 13 hours to complete
English

What you will learn

  • Describe and contrast Extract, Transform, Load (ETL) processes and Extract, Load, Transform (ELT) processes.

  • Explain batch vs concurrent modes of execution.

  • Implement an ETL pipelinethrough shell scripting.

  • Describe data pipeline components, processes, tools, and technologies.

Skills you will gain

  • Extraction, Transformation And Loading (ETL)
  • Apache Kafka
  • Apache Airflow
  • Data Pipelines
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
Beginner Level

Computer and IT literacy.

Approx. 13 hours to complete
English

Offered by

Placeholder

IBM Skills Network

Syllabus - What you will learn from this course

Week1
Week 1
1 hour to complete

Data Processing Techniques

1 hour to complete
7 videos (Total 33 min), 2 readings, 2 quizzes
Week2
Week 2
2 hours to complete

ETL & Data Pipelines: Tools and Techniques

2 hours to complete
5 videos (Total 26 min), 4 readings, 5 quizzes
Week3
Week 3
2 hours to complete

Building Data Pipelines using Airflow

2 hours to complete
5 videos (Total 26 min), 1 reading, 5 quizzes
Week4
Week 4
2 hours to complete

Building Streaming Pipelines using Kafka

2 hours to complete
4 videos (Total 28 min), 1 reading, 4 quizzes

Reviews

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