- Web Scraping
- Big Data
- Performance Tuning
- Apache Kafka
- Extract, Transform, Load
- Apache Airflow
- Scalability
- Data Transformation
- Data Warehousing
- Shell Script
- Data Migration
- Data Mart
ETL and Data Pipelines with Shell, Airflow and Kafka
Completed by LUKAS SEBASTIAN ALBER
March 6, 2022
17 hours (approximately)
LUKAS SEBASTIAN ALBER'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
