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.

Buggy practice. Not possible to complete without fixing airflow start script yourself. Nobody monitor or fixing issues here

It's one of the most challenging courses I've been enrolled!

Course content is good but labs are riddled with bugs and in dire need of quality control. I encountered many time-consuming, frustrating technical issues that made completing this course a slog. Final assignment introduces some difficult linux manipulations that were not covered in the coures and are not really that relevant to the subject matter. Some questions on the final are unclear and could be better written. Would recommend the instructors or whomever created this course to eat their own cooking and go through this course and fix the various issues.

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.

Perfect environment to make experiments! Very easy and powerful in use.

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.

Love the labs, but do not like the robotic lectures.

Interesting course with enough labs.

i really liked the labs

A decent overview of Airflow and Kafka. Worth it for the time invested. The labs were good, however the execution of the final assignment was poor -- you have to submit two dozen screen captures for a peer reviewed assignment. Taking screen caps of code is silly, why not just submit the code? Plus you are taking the caps before you even know if your code works. And you are relying on strangers to read and understand your code before you can get credit for the course. Fortunately, some kind soul found mine quickly and gave me 100%. My code did work -- I tested it thoroughly -- but you can't really tell from screen caps.

A good introductory course to airflow and kafka. Could have been broken up into at least two courses focusing on each of these platform, and going more in depth in each one. Also, the final assignment is a pain to complete especially due to some errors in instructions. But overall, It is a decent course.

It would be much better with real instructors and with no peer review that is not objecitve and no proper ansers clue

REALLY A GOOD COURSE BUT:

- Labs are not debugged (inaccuracies)

- I understand that Kafka a wide technology and maybe it will take more than a week to cover in a appropiate way, but the labs were only about copy and paste commands.

The course is really basic, it only introduces the keywords and very high level concepts of ETL. Barely discusses any technical challenges or constraints. Some of the questions in the quizzes are absurd.

I cannot proceed with the "SUBMIT a DAG" lab as I am constantly being shown the error - "cp: cannot create regular file '/home/project/airflow/dags/my_first_dag.py': Permission denied" when I run the command - "cp my_first_dag.py $AIRFLOW_HOME/dags".

How are you expecting me to complee this lab when I am getting a permission denied error. Please fix this asap.

The course is simply amazing which provides good amount of hands-on sessions to learn about building data pipelines with Shell scripting, Airflow and Kafka. I highly recommend this course to anyone who wants to be a Data Engineer.

Excellent introduction to this topics. Labs contain all you need to know how to start using this type of technologies. Highly recommended.

Thanks to all the instructor's efforts, one of the best DATA engineering courses, contains hands-on Experience with essential data tools.

Very useful high-level overview with practical examples of the major technologies that drive modern data pipelines.

The explanation was very thorough and easy to understand. The exercises were very helpful. Great course overall!

This was my first introduction to Apache airflow and i found the course detailed and practical.

Nice intro to ETL and Data Pipelines. Beginner level easy to follow hands on Airflow and Kafka.

Perfect Intro to Airflow and Kafka !

The Final Project is very fun and instructive

Succinctly presented. Labs really hammered the point home :)