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: YANGYANG C•
Love the labs, but do not like the robotic lectures.