- Big Data
- Extract, Transform, Load
- Apache Kafka
- Data Processing
- Data Mart
- Data Transformation
- Unix Shell
- Web Scraping
- Apache Airflow
- Data Warehousing
- Performance Tuning
- Data Integration
ETL and Data Pipelines with Shell, Airflow and Kafka
Completed by Esha Dutta
October 8, 2022
17 hours (approximately)
Esha Dutta'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
