- Extract, Transform, Load
- Scalability
- Web Scraping
- Unix Shell
- Data Integration
- Data Migration
- Apache Kafka
- Data Pipelines
- Performance Tuning
- Apache Airflow
- Big Data
- Data Warehousing
ETL and Data Pipelines with Shell, Airflow and Kafka
Completed by Marcio Gomes
January 10, 2022
17 hours (approximately)
Marcio Gomes'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
