- Big Data
- Web Scraping
- Extract, Transform, Load
- Shell Script
- Data Transformation
- Unix Shell
- Data Pipelines
- Apache Kafka
- Data Migration
- Data Processing
- Apache Airflow
- Data Mart
ETL and Data Pipelines with Shell, Airflow and Kafka
Completed by Hector Mejia
December 25, 2021
17 hours (approximately)
Hector Mejia'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
