- Data Warehousing
- Web Scraping
- Performance Tuning
- Apache Kafka
- Data Pipelines
- Data Processing
- Apache Airflow
- Shell Script
- Data Transformation
- Data Migration
- Data Mart
- Scalability
ETL and Data Pipelines with Shell, Airflow and Kafka
Completed by Aditi Nautiyal
July 7, 2024
17 hours (approximately)
Aditi Nautiyal's account is verified. Coursera certifies their successful completion of ETL and Data Pipelines with Shell, Airflow and Kafka
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 ETL workflow through bash and Python functions.
Describe data pipeline components, processes, tools, and technologies.
Skills you will gain
