교육 기관: Nataliya S•
Thanks to IBM and Coursera for the great "ETL and Data Pipelines with Shell, Airflow and Kafka" course, that I passed with Grade Achieved: 100%. It's the third course, that I've passed, as a part of "IBM Data Engineering Specialization". I was so carried away by the course that I literally sat up until 2 am almost every day. In this course I could apply my knowledge of Python, Pandas, SQL, Bash commands to build ETL Batch and Stream pipelines.
교육 기관: Evgeny D•
It's one of the most challenging courses I've been enrolled!
교육 기관: Dmitry K•
Buggy practice. Not possible to complete without fixing airflow start script yourself. Nobody monitor or fixing issues here
교육 기관: RLee•
The final project to connect Airflow as a pipeline management tool to Kafka server is a very useful hands-on project. More details or explanations on the syntax of Python calling Kafka producer and consumer, which are in the files of toll_traffic_generator.py and streaming_data_reader.py, would be more valuable rather than just providing these two files to run on its own.
교육 기관: Ilya K•
Perfect environment to make experiments! Very easy and powerful in use.
교육 기관: Natale F•
Interesting course with enough labs.
교육 기관: Hugo A O O•
i really liked the labs
교육 기관: Omar H•
It's great introduction for airflow and kafka but still an introduction it is shallow doesn't offer much but at the end you will understand what you need to continue further in both technologies.
교육 기관: YANGYANG C•
Love the labs, but do not like the robotic lectures.