- Command-Line Interface
- Web Scraping
- Shell Script
- Performance Tuning
- Data Pipelines
- Data Processing
- Data Warehousing
- Data Migration
- Scalability
- Extract, Transform, Load
- Data Mart
- Apache Kafka
ETL and Data Pipelines with Shell, Airflow and Kafka
Completed by Dane Ramirez
September 27, 2024
17 hours (approximately)
Dane Ramirez'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
